Research
I do not have a lot of publications yet, but I hope that the ones I have right now are of interest for you. If you have any questions or are interested in commenting my work I will be happy to receive any comments.
Font-Julian, Cristina I.; Orduña-Malea, Enrique
Margarita Salas: un gran nombre para un contrato postdoctoral mejorable Journal Article
In: Anuario ThinkEPI, vol. 17, no. e17a06, 2023, ISSN: 2564-8837.
Abstract | Links | BibTeX | Tags: Job insecurity, Ministry of Universities, Postdoctoral contracts, Science Management, Spain, Universities, Young researchers
@article{Font-Julian2023,
title = {Margarita Salas: un gran nombre para un contrato postdoctoral mejorable},
author = {Cristina I. Font-Julian and Enrique Orduña-Malea},
doi = {https://doi.org/10.3145/thinkepi.2023.e17a06},
issn = {2564-8837},
year = {2023},
date = {2023-04-03},
journal = {Anuario ThinkEPI},
volume = {17},
number = {e17a06},
abstract = {One year after the incorporation of Margarita Salas researchers in universities and research cen-tres thanks to the plan for the requalification of the Spanish university system carried out by the Ministry of Universities, this work compiles the main problems and limitations of this postdoctoral contract and outlines some possible solutions for future calls with similar characteristics.},
keywords = {Job insecurity, Ministry of Universities, Postdoctoral contracts, Science Management, Spain, Universities, Young researchers},
pubstate = {published},
tppubtype = {article}
}
Thelwall, Mike; Kousha, Kayvan; Abodli, Mashid; Stuart, Emma; Makita, Meiko; Font-Julian, Cristina I.; Wilson, Paul; Levitt, Jonathan
Is research funding always beneficial? A cross-disciplinary analysis of UK research 2014–20 Journal Article
In: Quantitative Science Studies, pp. 1-34, 2023, ISSN: 2641-3337.
Abstract | Links | BibTeX | Tags: Academic Careers, Research Funding, Research Grants, Research Quality, Scientometrics
@article{nokey,
title = {Is research funding always beneficial? A cross-disciplinary analysis of UK research 2014–20},
author = {Mike Thelwall and Kayvan Kousha and Mashid Abodli and Emma Stuart and Meiko Makita and Cristina I. Font-Julian and Paul Wilson and Jonathan Levitt},
editor = {Ludo Waltman},
doi = {https://doi.org/10.1162/qss_a_00254},
issn = {2641-3337},
year = {2023},
date = {2023-03-25},
urldate = {2023-03-25},
journal = {Quantitative Science Studies},
pages = {1-34},
abstract = {While funding is essential for some types of research and beneficial for others, it may constrain academic choice and creativity. Thus, it is important to check whether it ever seems unnecessary. Here we investigate whether funded UK research tends to be higher quality in all fields and for all major research funders. Based on peer review quality scores for 113,877 articles from all fields in the UK’s Research Excellence Framework (REF) 2021, we estimate that there are substantial disciplinary differences in the proportion of funded journal articles, from Theology and Religious Studies (16%+) to Biological Sciences (91%+). The results suggest that funded research is likely to be of higher quality overall, for all the largest research funders, and for 30 out of 34 REF Units of Assessment (disciplines or sets of disciplines), even after factoring out research team size. There are differences between funders in the average quality of the research supported, however. Funding seems particularly associated with higher research quality in health-related fields. The results do not show cause and effect and do not take into account the amount of funding received, but are consistent with funding either improving research quality or being won by high-quality researchers or projects.},
keywords = {Academic Careers, Research Funding, Research Grants, Research Quality, Scientometrics},
pubstate = {published},
tppubtype = {article}
}
Orduña-Malea, Enrique; Font-Julian, Cristina I.
Are patents linked on Twitter? A case study of Google patents Journal Article
In: Scientometrics, vol. 127, pp. 6339–6362, 2022.
Abstract | Links | BibTeX | Tags: Altmetrics, Link Analysis, Patent, Social Media Metrics, Social Patentometrics, Twitter
@article{nokey,
title = {Are patents linked on Twitter? A case study of Google patents},
author = {Enrique Orduña-Malea and Cristina I. Font-Julian},
doi = {https://doi.org/10.1007/s11192-022-04519-y},
year = {2022},
date = {2022-10-10},
urldate = {2022-10-10},
journal = {Scientometrics},
volume = {127},
pages = {6339–6362},
abstract = {This study attempts to analyze patents as cited/mentioned documents to better understand the interest, dissemination and engagement of these documents in social environments, laying the foundations for social media studies of patents (social Patentometrics).Particularly, this study aims to determine how patents are disseminated on Twitter by analyzing three elements: tweets linking to patents, users linking to patents, and patents linked from Twitter. To do this, all the tweets containing at least one link to a full-text patent available on Google Patents were collected and analyzed, yielding a total of 126,815 tweets (and 129,001 links) to 86,417 patents. The results evidence an increase of the number of linking tweets over the years, presumably due to the creation of a standardized patent URL ID and the integration of Google Patents and Google Scholar, which took place in 2015. The engagement achieved by these tweets is limited (80.2% of tweets did not attract likes) but increasing notably since 2018. Two super-publisher twitter bot accounts (dailypatent and uspatentbot) are responsible of 53.3% of all the linking tweets, while most accounts are sporadic users linking to patent as part of a conversation. The patents most tweeted are, by far, from United States (87.5% of all links to Google Patents), mainly due to the effect of the two super-publishers. The impact of patents in terms of the number of tweets linking to them is unrelated to their year of publication, status or number of patent citations received, while controversial and media topics might be more determinant factors. However, further research is needed to better understand the topics discussed around patents on Twitter, the users involved, and the metrics attained. Given the increasing number of linking users and linked patents, this study finds Twitter as a relevant source to measure patent-level metrics, shedding light on the impact and interest of patents by the broad public.},
keywords = {Altmetrics, Link Analysis, Patent, Social Media Metrics, Social Patentometrics, Twitter},
pubstate = {published},
tppubtype = {article}
}
Font-Julian, Cristina I.; Ontalba-Ruipérez, José-Antonio; Orduña-Malea, Enrique; Thelwall, Mike
Which types of online resource support US patent claims? Journal Article
In: Journal of Informetrics, vol. 16, iss. 2022, no. 101247, pp. 14, 2022, ISSN: 1751-1577.
Abstract | Links | BibTeX | Tags: Informetrics, Link Analysis, Patent, Patent Analysis, United States Patent and Trademark Office online resources
@article{nokey,
title = {Which types of online resource support US patent claims?},
author = {Cristina I. Font-Julian and José-Antonio Ontalba-Ruipérez and Enrique Orduña-Malea and Mike Thelwall},
url = {https://crifonju.upv.edu.es/wp-content/uploads/2022/02/Graphical-abstract.pdf},
doi = {10.1016/j.joi.2021.101247},
issn = {1751-1577},
year = {2022},
date = {2022-01-05},
urldate = {2022-01-05},
journal = {Journal of Informetrics},
volume = {16},
number = {101247},
issue = {2022},
pages = {14},
abstract = {Patents are key documents to support the commercial exploitation of inventions. Patent docu- ments must claim inventiveness, industrial application, and novelty to be granted and may use citations and URLs to support these claims as well as to explain their ideas. Although there is much research into the citations used to support inventions, almost nothing is known about the cited URLs. This may hinder inventors and evaluators from deciding which URLs are appropriate. To investigate this issue, all 3,133,247 patents granted by the United States Patent and Trademark Office (USPTO) from 2008 to 2018 were investigated, and 2,719,705 URLs (patent outlinks) were automatically extracted using heuristics, and analyzed using link analyses techniques. A minority of patents included URLs (17.1%), with the percentage increasing over time. The inclusion of URLs differs between disciplines, with Physics (especially the subcategory Computation) having the most URLs per patent. Patents are generally embedded in the “other citations” patent section (referring to academic publications) and the “description” section (e.g., supplementary infor- mation and definitions). Online content-oriented resources (e.g., Wayback Machine, Wikipedia, YouTube), academic bibliographic databases (e.g., IEEE Xplore, Microsoft Academic, PubMed, CiteSeerX) and technological companies (e.g., IBM, Amazon, Microsoft) are often linked from USPTO patents. These findings show the broad roles that URLs can play when supporting a patent claim. Finally, in order to avoid bad practices found in the inclusion of URLs in patents, a list of recommendations to cite online resources from patents is provided.},
keywords = {Informetrics, Link Analysis, Patent, Patent Analysis, United States Patent and Trademark Office online resources},
pubstate = {published},
tppubtype = {article}
}
Font-Julian, Cristina I.
Descubrimiento y evaluación de recursos web de calidad mediante Patent Link Analysis PhD Thesis
2021.
Abstract | Links | BibTeX | Tags: Cybermetrics, Informetrics, Link Analysis, Patent, United States Patent and Trademark Office online resources, Web Quality, Webmetrics
@phdthesis{Font-Julian2021,
title = {Descubrimiento y evaluación de recursos web de calidad mediante Patent Link Analysis},
author = {Cristina I. Font-Julian},
editor = {Universitat Politècnica de València},
url = {https://crifonju.upv.edu.es/phd-cfont-vdeposito/},
doi = {https://doi.org/10.4995/Thesis/10251/170640},
year = {2021},
date = {2021-06-22},
urldate = {2021-06-22},
abstract = {Patents are legal documents that describe the exact operation of an invention, granting the right of economic exploitation to its owners in exchange for describing the details of the operation of said invention. For a patent to be granted, it must meet three requirements: be novel (not have been previously exhibited or published), comply with the inventive step, and have industrial application. That is why patents are valuable documents, since they contain a large amount of technical information not previously included in another type of document (published or available). Due to the particular characteristics of patents, the resources that they mention, as well as the resources that mention patents, contain links that can be useful and give support to various applications (technological surveillance, development and innovation, Triple-Helix, etc.) by having complementary information, as well as the creation of tools and techniques that allow them to be extracted and analyzed. The proposed method to achieve the objectives that define the thesis is divided into two complementary blocks: Patent Outlink and Patent Inlink, which together make up the Patent Link Analysis technique. To carry out the study, the United States Patent and Trademark Office (USPTO) is selected, collecting all those patents granted between 2008 and 2018 (both included). Once the information to be analyzed has been extracted in each block, there are: 3,133,247 patents, 2,745,973 million links contained in patents, 2,297,366 million linked patent web pages, 17,001 unique web pages linking patents and 990,663 Unique patents linked from web documents. The results of the Patent Outlink analysis show that both the number of patents that contain links (20%) and the number of links contained in patents (median 4-5) is still low, but has grown significantly in recent years and you can expect more use in the future. There is a clear difference in the use of links between areas of knowledge (42% belong to Physics, especially Computing and Calculus), as well as by sections within the documents, explaining the results obtained and the projection of future analyzes. The results of the Patent Inlink analysis identify considerably fewer web domains that link to patents (17,001 vs. 256,724), but there are more links per linking document (the total number of links is similar for both analysis blocks). Likewise, the data shows a high dispersion, with a few domains generating a large number of links. Both blocks show the existence of a high relationship with companies and technological services, with differences related to links to Universities and Governments (more links in Outlink). Finally, it is verified that the proposed model allows in an efficient, effective and replicable way the extraction and analysis of the links contained and directed to patent documents, as well as facilitating the discovery and evaluation of quality web resources. In addition, it is concluded that cybermetrics, through the link analysis technique, provides information of interest for the analysis of quality web resources through the links contained and directed to patent documents. The proposed and validated method allows defining, modeling and characterizing Patent Link Analysis as a subgenre of Link Analysis that can be used for the construction of link intelligence monitoring, evaluation and / or quality systems, among others, through the use of the inbound and outbound links of applicable patent documents universities, research centers, as well as public and private companies.},
howpublished = {Universitat Politècnica de València},
keywords = {Cybermetrics, Informetrics, Link Analysis, Patent, United States Patent and Trademark Office online resources, Web Quality, Webmetrics},
pubstate = {published},
tppubtype = {phdthesis}
}
Orduña-Malea, Enrique; Font-Julian, Cristina I.; Ontalba-Ruipérez, José-Antonio; Compés-López, Raúl
Masters of Wine on Twitter: presence, activity, impact and community structure Journal Article
In: Wine Economics and Policy, vol. 10, iss. 1, pp. 73-88, 2021, ISSN: 2112-9774.
Abstract | Links | BibTeX | Tags: Informetrics, Social Media, Twitter, Wine, Wine Experts, Wine Industry
@article{nokey,
title = {Masters of Wine on Twitter: presence, activity, impact and community structure},
author = {Enrique Orduña-Malea and Cristina I. Font-Julian and José-Antonio Ontalba-Ruipérez and Raúl Compés-López},
doi = {doi.org/10.36253/wep-9055},
issn = {2112-9774},
year = {2021},
date = {2021-04-17},
journal = {Wine Economics and Policy},
volume = {10},
issue = {1},
pages = {73-88},
abstract = {Globalisation, the Internet and social media have changed the kind of actors with influence in the wine industry and the way these actors create signals to communicate credible information about experience and trust attributes. Among the most prestigious experts in the world of wine are the Masters of Wine (MW). Although initially devoted to international trade, they have spread their activities and their opinion is more and more appreciated by producers and consumers. The main objective of this article is to determine this community of experts’ behaviour on Twitter. In order to do so, four factors (presence, activity, impact and community) have been considered. All Twitter profiles belonging to users awarded with the MW qualification were identified and analysed. In addition, a set of 35,653 tweets published by the MWs were retrieved and analysed through descriptive statistics. The results show MWs on Twitter as high attractors (number of followers), moderate publishers (original contents published), moderate influencers (number of likes and retweets), and low interactors (number of friends and mentions to other users). These findings reveal that the MW community is not using Twitter to gain or reinforce their reputation as an accredited expert in the wine industry, giving more influential space on Twitter to consumers and amateurs.},
keywords = {Informetrics, Social Media, Twitter, Wine, Wine Experts, Wine Industry},
pubstate = {published},
tppubtype = {article}
}
Orduña-Malea, Enrique; Font-Julian, Cristina I.; Ontalba-Ruipérez, José-Antonio
Covid-19: análisis métrico de vídeos y canales de comunicación en YouTube Journal Article
In: Profesional de la Información, vol. 29, no. 4, pp. e290401, 2020, ISSN: 1699-2407.
Abstract | Links | BibTeX | Tags: Coronavirus, Covid-19, Health Information, Informetrics, Pandemics, Spain, Video, YouTube
@article{nokey,
title = {Covid-19: análisis métrico de vídeos y canales de comunicación en YouTube},
author = {Enrique Orduña-Malea and Cristina I. Font-Julian and José-Antonio Ontalba-Ruipérez},
doi = {10.3145/epi.2020.jul.01},
issn = {1699-2407},
year = {2020},
date = {2020-05-17},
urldate = {2020-05-17},
journal = {Profesional de la Información},
volume = {29},
number = {4},
pages = {e290401},
abstract = {El objetivo de este trabajo es determinar el volumen de vídeos sobre Covid-19 publicados y difundidos a través de <em>YouTube</em> y relacionados directa o indirectamente con el territorio nacional español, caracterizar su impacto (en términos de visualizaciones, <em>likes</em> y comentarios recibidos), y finalmente categorizar los canales a través de los cuales se han difundido. Para ello se han analizado 39.531 vídeos publicados entre el 1 enero y el 30 de abril de 2020. Los resultados muestran que el número de vídeos sobre Covid-19 aumentaron a partir del establecimiento del estado de alarma en España y, poco a poco, han ido disminuyendo en el tiempo, con ciertos repuntes vinculados a decisiones políticas. Los vídeos logran en promedio un gran número de visualizaciones, <em>likes/dislikes</em> y comentarios, y han sido publicados principalmente por medios de comunicación. Los vídeos relacionados con blogs y entretenimiento son muy numerosos pero con menor impacto. Los vídeos pertenecientes a las categorías de <em>Educación</em> y <em>Ciencia y Tecnología</em> son menos numerosos pero con un alto impacto, especialmente en visualizaciones. De forma complementaria, se concluye que los criterios de ordenación de <em>YouTube</em> no son lo suficientemente precisos como para ser utilizados en estudios informétricos sin una alta carga de trabajo en limpieza de datos. Así mismo, la existencia de canales que aplican estrategias engañosas de posicionamiento dificulta la realización de este tipo de estudios.},
keywords = {Coronavirus, Covid-19, Health Information, Informetrics, Pandemics, Spain, Video, YouTube},
pubstate = {published},
tppubtype = {article}
}
González-Llinares, Javier; Font-Julian, Cristina I.; Orduña-Malea, Enrique
Universidades en Google: hacia un modelo de análisis multinivel del posicionamiento web académico Journal Article
In: Revista Española De Documentación Científica, vol. 43, no. 2, pp. e260, 2020, ISBN: 1988-4621.
Abstract | Links | BibTeX | Tags: Academic SEO, Cybermetrics, Evaluation Model, Google, Search Engines, Search Engines Optimization, SEO, Universities, Web positioning, Web Visibility, Webometrics
@article{nokey,
title = {Universidades en Google: hacia un modelo de análisis multinivel del posicionamiento web académico},
author = {Javier González-Llinares and Cristina I. Font-Julian and Enrique Orduña-Malea},
doi = {10.3989/redc.2020.2.1691},
isbn = {1988-4621},
year = {2020},
date = {2020-04-17},
urldate = {2020-04-17},
journal = {Revista Española De Documentación Científica},
volume = {43},
number = {2},
pages = {e260},
abstract = {Se propone un modelo de análisis del posicionamiento web de universidades basado en un vocabulario de palabras clave categorizadas según las distintas misiones universitarias, que se aplica a una universidad (Universitat Politècnica de València) para comprobar su idoneidad. A partir de un vocabulario de 164 palabras clave se construyeron 290 consultas web que fueron ejecutadas en Google, recopilando los 20 primeros resultados obtenidos para cada consulta. Los resultados confirman que las universidades obtienen un posicionamiento web variable en función de la dimensión vinculada a la consulta web y que las páginas web vinculadas a la docencia (especialmente Grados) son las que mejor posicionan, incluso para consultas web orientadas a investigación. Con todo, se observa un posicionamiento bajo no sólo para la UPV sino para las universidades públicas presenciales españolas (sólo el 27% del total de resultados en el Top 20 corresponde a alguna de estas universidades). Se concluye que el análisis multinivel es necesario para estudiar el posicionamiento web de las universidades y que el modelo propuesto es viable y escalable. No obstante, se han identificado ciertas limitaciones (dependencia del vocabulario utilizado y alta variabilidad de datos) que deben tenerse en cuenta en el diseño de este tipo de modelos de análisis.},
keywords = {Academic SEO, Cybermetrics, Evaluation Model, Google, Search Engines, Search Engines Optimization, SEO, Universities, Web positioning, Web Visibility, Webometrics},
pubstate = {published},
tppubtype = {article}
}
Compés-López, Raúl; Font-Julian, Cristina I.; Orduña-Malea, Enrique
Has Robert Parker lost his hegemony as a prescriptor in the wine World? A preliminar inquiry through Twitter Book Chapter
In: de València, Universitat Politècnica (Ed.): 2018, ISBN: 9788490486894.
Abstract | Links | BibTeX | Tags: Robert Parker, Twitter, Web Data, Web Data Analysis, Webometrics, Wine Experts, Wine Industry, Wine Prescriptor
@inbook{nokey,
title = {Has Robert Parker lost his hegemony as a prescriptor in the wine World? A preliminar inquiry through Twitter},
author = {Raúl Compés-López and Cristina I. Font-Julian and Enrique Orduña-Malea},
editor = {Universitat Politècnica de València},
doi = {10.4995/CARMA2018.2018.8320},
isbn = {9788490486894},
year = {2018},
date = {2018-09-07},
series = {2nd International Conference on Advanced Reserach Methods and Analytics (CARMA 2018).},
abstract = {he aim of this work is to determine to what extent Robert Parker has lost his influence as a prescriber in the world of wine through a webometric analysis based on a comparative analysis of Parker’s web influence and that of a competitor who represents an anthitetical vision of the world of wine (Alice Feiring). To do this, we carried out a comparative analysis for Parker’s (@wine_advocate) and Alice Feiring’s (@alicefeiring) official Twitter accounts, including a broad set of metrics (productivity, age, Social Activity, number of followees, etc.), paying special attention to specific followers’ features (age, gender, location, and bios text). The results show that Parker’s twitter profile exhibits an overall higher impact, which denotes not only a different online strategy but also a high level of engagement and popularity. The low level of shared followers by Parker and Feiring (1,898 users) offer prima facie evidence of an online gap between these followers, which can indicate the existence of a divided group of supporters corresponding with the visions that Parker and Feiring represent. Finally, special features are notice for Feiring in gender (more women followers), language (more English-speaking followers) and country (more followers from the United States). },
keywords = {Robert Parker, Twitter, Web Data, Web Data Analysis, Webometrics, Wine Experts, Wine Industry, Wine Prescriptor},
pubstate = {published},
tppubtype = {inbook}
}
Contreras-Ochando, Lidia; Font-Julian, Cristina I.; Nieves, David; Martínez-Plumed, Fernando
How Data Science helps to build Smart Cities: València as a use case Book Chapter
In: Colomina, Begoña Cantó; Ferreira, Vanesa G. Lo Iacono (Ed.): Universitat Politècnica de València, 2018, ISBN: 978-84-09-02970-9.
Abstract | Links | BibTeX | Tags: Data Science, Machine Learning, Open Data, Smart Cities
@inbook{nokey,
title = {How Data Science helps to build Smart Cities: València as a use case},
author = {Lidia Contreras-Ochando and Cristina I. Font-Julian and David Nieves and Fernando Martínez-Plumed},
editor = {Begoña Cantó Colomina and Vanesa G. Lo Iacono Ferreira},
doi = {http://hdl.handle.net/10251/104672},
isbn = {978-84-09-02970-9},
year = {2018},
date = {2018-06-07},
urldate = {2018-06-07},
publisher = {Universitat Politècnica de València},
abstract = {The high degree of datification and connectivity embedded in a Smart City demands tools and mechanisms for data manipulation, knowledge extraction and representation that facilitate the extraction of meaningful insights. Clearly, Data Science can make enormous contributions to the development of Smart Cities, especially when it comes to gather and process information, combined with the capabilities of machine learning. In this regard, this paper discusses the use of Data Science methodologies and machine learning techniques to Smart City management aspects such as infrastructures, public safety and health, citizens' empowerment, transportation, etc. and presents a number of practical cases in the context of Smart Cities in València, Spain.},
keywords = {Data Science, Machine Learning, Open Data, Smart Cities},
pubstate = {published},
tppubtype = {inbook}
}
Font-Julian, Cristina I.; Orduña-Malea, Enrique; Ontalba-Ruipérez, José-Antonio
Hit count estimate variability for website-specific queries in search engines: The case for rare disease association websites Journal Article
In: Aslib Journal of Information Management, vol. 70, no. 2, pp. 192-213, 2018, ISSN: 2050-3806.
Abstract | Links | BibTeX | Tags: Bing, Google, Hit Count Estimates, Rare Diseases, Search Engines, Website Page Count
@article{nokey,
title = {Hit count estimate variability for website-specific queries in search engines: The case for rare disease association websites},
author = {Cristina I. Font-Julian and Enrique Orduña-Malea and José-Antonio Ontalba-Ruipérez},
doi = {10.1108/AJIM-10-2017-0226},
issn = {2050-3806},
year = {2018},
date = {2018-02-07},
urldate = {2018-02-07},
journal = {Aslib Journal of Information Management},
volume = {70},
number = {2},
pages = {192-213},
abstract = {Purpose
The purpose of this paper is to determine the effect of the chosen search engine results page (SERP) on the website-specific hit count estimation indicator.
Design/methodology/approach
A sample of 100 Spanish rare disease association websites is analysed, obtaining the website-specific hit count estimation for the first and last SERPs in two search engines (Google and Bing) at two different periods in time (2016 and 2017).
Findings
It has been empirically demonstrated that there are differences between the number of hits returned on the first and last SERP in both Google and Bing. These differences are significant when they exceed a threshold value on the first SERP.
Research limitations/implications
Future studies considering other samples, more SERPs and generating different queries other than website page count () would be desirable to draw more general conclusions on the nature of quantitative data provided by general search engines.
Practical implications
Selecting a wrong SERP to calculate some metrics (in this case, website-specific hit count estimation) might provide misleading results, comparisons and performance rankings. The empirical data suggest that the first SERP captures the differences between websites better because it has a greater discriminating power and is more appropriate for webometric longitudinal studies.
Social implications
The findings allow improving future quantitative webometric analyses based on website-specific hit count estimation metrics in general search engines.
Originality/value
The website-specific hit count estimation variability between SERPs has been empirically analysed, considering two different search engines (Google and Bing), a set of 100 websites focussed on a similar market (Spanish rare diseases associations), and two annual samples, making this study the most exhaustive on this issue to date.
},
keywords = {Bing, Google, Hit Count Estimates, Rare Diseases, Search Engines, Website Page Count},
pubstate = {published},
tppubtype = {article}
}
The purpose of this paper is to determine the effect of the chosen search engine results page (SERP) on the website-specific hit count estimation indicator.
Design/methodology/approach
A sample of 100 Spanish rare disease association websites is analysed, obtaining the website-specific hit count estimation for the first and last SERPs in two search engines (Google and Bing) at two different periods in time (2016 and 2017).
Findings
It has been empirically demonstrated that there are differences between the number of hits returned on the first and last SERP in both Google and Bing. These differences are significant when they exceed a threshold value on the first SERP.
Research limitations/implications
Future studies considering other samples, more SERPs and generating different queries other than website page count (<site>) would be desirable to draw more general conclusions on the nature of quantitative data provided by general search engines.
Practical implications
Selecting a wrong SERP to calculate some metrics (in this case, website-specific hit count estimation) might provide misleading results, comparisons and performance rankings. The empirical data suggest that the first SERP captures the differences between websites better because it has a greater discriminating power and is more appropriate for webometric longitudinal studies.
Social implications
The findings allow improving future quantitative webometric analyses based on website-specific hit count estimation metrics in general search engines.
Originality/value
The website-specific hit count estimation variability between SERPs has been empirically analysed, considering two different search engines (Google and Bing), a set of 100 websites focussed on a similar market (Spanish rare diseases associations), and two annual samples, making this study the most exhaustive on this issue to date.
Orduña-Malea, Enrique; Font-Julian, Cristina I.; Ontalba-Ruipérez, José-Antonio
From Universities to Private Companies: A Measurable Route of Linkedin Users Book Chapter
In: Lloret, Nuria; Cabrera, Marga (Ed.): pp. 127-150, IGI Global, 2017, ISBN: 9781522509189.
Abstract | Links | BibTeX | Tags:
@inbook{nokey,
title = {From Universities to Private Companies: A Measurable Route of Linkedin Users},
author = {Enrique Orduña-Malea and Cristina I. Font-Julian and José-Antonio Ontalba-Ruipérez},
editor = {Nuria Lloret and Marga Cabrera},
doi = {10.4018/978-1-5225-0917-2.ch009},
isbn = {9781522509189},
year = {2017},
date = {2017-02-07},
urldate = {2017-02-07},
pages = {127-150},
publisher = {IGI Global},
abstract = {In publishing their education background together with the professional experience, users make LinkedIn a privileged web source for understanding “University-Industry” connections. Precisely, the main goal of this study is to test LinkedIn as a valid source for analyses oriented to the quantification of the university-industry interactions. To this end, the authors propose two different procedures (method A: direct through the URL mentions between LinkedIn profiles; and Method B: indirect through the information from LinkedIn University Pages), comparing them against the direct procedure based on URL mentions between official websites (Method C). To do this, the authors have selected the whole Spanish academic system. The results show that method A is unusable yet due to the low web connectivity between LinkedIn profiles, while method B provides reliable though too volatile data that complements method C, which reveal in turn relations of different nature.},
keywords = {},
pubstate = {published},
tppubtype = {inbook}
}
Serrano-Cobos, Jorge; Font-Julian, Cristina I.; de Dios, J. González; Aleixandre-Benavent, R.
Comunicación Científica (XXXVIII). Cómo hacer una estrategia "social media" para pediatras (V). Academic SEO a través de Google Scholar. Journal Article
In: Acta Pediátrica, vol. 74, no. 10, pp. 266-272, 2016, ISBN: 978-84-9905-261-8.
Abstract | BibTeX | Tags: Academic SEO, Google Scholar, Metrics, Scientific Impact, Scientific Visibility, Search Engines Optimization
@article{nokey,
title = {Comunicación Científica (XXXVIII). Cómo hacer una estrategia "social media" para pediatras (V). Academic SEO a través de Google Scholar.},
author = {Jorge Serrano-Cobos and Cristina I. Font-Julian and J. González de Dios and R. Aleixandre-Benavent},
isbn = {978-84-9905-261-8},
year = {2016},
date = {2016-07-07},
urldate = {2016-07-07},
journal = {Acta Pediátrica},
volume = {74},
number = {10},
pages = {266-272},
abstract = { La interacción de los científicos en sus conductas de búsqueda de información científica ha cambiado en los últimos años, con la utilización cada vez más de Google Scholar como fuente principal de indagación. Por tanto, para mejorar el impacto científico es necesario entender cómo mejorar la encontrabilidad de la producción científica en este buscador, por lo que en este artículo se desglosa una selección de factores y acciones de comunicación que llevar a cabo con el fin de mejorar la presencia online de los pediatras y apoyar el impacto de su producción digital.},
keywords = {Academic SEO, Google Scholar, Metrics, Scientific Impact, Scientific Visibility, Search Engines Optimization},
pubstate = {published},
tppubtype = {article}
}
Contreras-Ochando, Lidia; Font-Julian, Cristina I.; Contreras-Ochando, Francisco; Ferri, Cèsar
AirVLC: An application for real-time forecasting urban air pollution Proceeding
Proceedings of the 2nd International Workshop of Mining Urban Data, 2015.
Abstract | BibTeX | Tags: Data Science, Machine Learning, Open Data, Smart Cities
@proceedings{nokey,
title = {AirVLC: An application for real-time forecasting urban air pollution},
author = {Lidia Contreras-Ochando and Cristina I. Font-Julian and Francisco Contreras-Ochando and Cèsar Ferri},
year = {2015},
date = {2015-07-11},
abstract = {This paper presents Airvlc, an application for producing real-time urban air pollution forecasts for the city of Valencia in Spain. Although many cities provide air quality data, in many cases, this information is presented with significant delays (three hours for the city of Valencia) and it is lim- ited to the area where the measurement stations are located. The application employs regression models able to predict the levels of four differ- ent pollutants (CO, NO, PM2.5, NO2) in three different locations of the city. These models are trained using features that represent traffic inten- sity, persistence of pollutants and meteorological parameters such as wind speed and temperature. We compare different learning techniques to get the better performance in the prediction of pollu- tants. According to our experiments, ensembles of decision trees (Random Forest) outperforms the rest of methods in almost all of our tests. Airvlc incorporates the best regression models and, by a distance-weighted combination of the predictions, is able to generate a real-time pollu- tion map of the city of Valencia. The application also includes a warning system for sending no- tifications to users when a nearby risk pollution concentration is detected. },
howpublished = {Proceedings of the 2nd International Workshop of Mining Urban Data},
keywords = {Data Science, Machine Learning, Open Data, Smart Cities},
pubstate = {published},
tppubtype = {proceedings}
}
Contreras-Ochando, Lidia; Font-Julian, Cristina I.; Morillo, Paulina; Vallejo, Diego
TransparencyScience. Return on research investment, where do the funds go? Proceeding
iConference 2015 Proceedings, 2015.
Abstract | BibTeX | Tags: Citizen Participation, Crowdfunding, Data mining, Data Visualization, Open Data, Open Government, Public Investment, Social Network, Transparency
@proceedings{nokey,
title = {TransparencyScience. Return on research investment, where do the funds go?},
author = {Lidia Contreras-Ochando and Cristina I. Font-Julian and Paulina Morillo and Diego Vallejo},
year = {2015},
date = {2015-06-17},
urldate = {2015-06-17},
abstract = {The web application www.transparencyscience.es has been created in order to provide reliable information about public investment in science, in order to allow citizens to exercise their rights: to be informed in a transparent way, to control their government’s actions and to bring their ideas to guide the country’s policies on public investment in science. To achieve these goals, www.transparencyscience.es collects and process data from several open sources of the Spanish government. It uses different kinds of content and visualizations to facilitate the understanding of the Spanish public investment in science. It encourages citizen participation in three ways: a voting system; commenting system for collecting citizens’ opinion in natural language; and finally, acrowdfunding system for proposed actions/petitions/etc.
The purposes of this paper are both to explain why we have designed and created the web application www.transparencyscience.es, and to describe how it works. It also reveals some added value in comparison with other projects in Spain.},
howpublished = {iConference 2015 Proceedings},
keywords = {Citizen Participation, Crowdfunding, Data mining, Data Visualization, Open Data, Open Government, Public Investment, Social Network, Transparency},
pubstate = {published},
tppubtype = {proceedings}
}
The purposes of this paper are both to explain why we have designed and created the web application www.transparencyscience.es, and to describe how it works. It also reveals some added value in comparison with other projects in Spain.