Publicaciones
Compartiendo Conocimiento
En esta sección compartimos las publicaciones y comunicaciones realizadas por nuestro grupo de investigación. Aquí puedes encontrar los resultados de nuestros estudios, presentaciones y artículos que contribuyen al desarrollo del conocimiento en nuestro campo.
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1.
Orduña-Malea, Enrique; Bautista-Puig, Nuria
DORA Declaration Tweet Collection dataset
2023.
Resumen | Enlaces | BibTeX | Etiquetas: DORA, Research Evaluation, Scientometrics, Social Media Metrics, Twitter
@dataset{OrduñaMalea2023,
title = {DORA Declaration Tweet Collection},
author = {Enrique Orduña-Malea and Nuria Bautista-Puig},
doi = {10.4995/dataset/10251/199150},
year = {2023},
date = {2023-11-02},
urldate = {2023-11-02},
publisher = {Universitat Politecnica de Valencia},
abstract = {This dataset includes the raw data used to carry out a study related to the analysis of the DORA Declaration on Twitter. The dataset includes the tweets collected from the Twitter Academic API (comprising three collections: tweets published by DORA, tweets mentioning DORA, and tweets including a DORA-related hashtag), supplementary material (including extra tables and figures), and the script used to collect data from Twitch API.},
keywords = {DORA, Research Evaluation, Scientometrics, Social Media Metrics, Twitter},
pubstate = {published},
tppubtype = {dataset}
}
This dataset includes the raw data used to carry out a study related to the analysis of the DORA Declaration on Twitter. The dataset includes the tweets collected from the Twitter Academic API (comprising three collections: tweets published by DORA, tweets mentioning DORA, and tweets including a DORA-related hashtag), supplementary material (including extra tables and figures), and the script used to collect data from Twitch API.
2.
Orduña-Malea, Enrique; Costas, Rodrigo
A scientometric-inspired framework to analyze EurekAlert! press releases Capítulo de libro
En: Broer, Irene; Lemke, Steffen; Mazarakis, Athanasios; Peters, Isabella; Zinke-Wehlmann, Christian (Ed.): The Science-Media Interface, pp. 1-28, De Gruyter Saur, Berlin, Boston, 2023, ISBN: 9783110776546.
Resumen | Enlaces | BibTeX | Etiquetas: Altmetrics, EurekAlert!, Press releases, Science Communication, Scientific News, Scientometrics, Webometrics
@inbook{Orduña-Malea2023b,
title = {A scientometric-inspired framework to analyze EurekAlert! press releases},
author = {Enrique Orduña-Malea and Rodrigo Costas},
editor = {Irene Broer and Steffen Lemke and Athanasios Mazarakis and Isabella Peters and Christian Zinke-Wehlmann},
doi = {10.1515/9783110776546-001},
isbn = {9783110776546},
year = {2023},
date = {2023-10-09},
urldate = {2023-10-09},
booktitle = {The Science-Media Interface},
pages = {1-28},
publisher = {De Gruyter Saur},
address = {Berlin, Boston},
series = {The Science-Media Interface On the Relation Between Internal and External Science Communication},
abstract = {Press releases about scholarly news are brief statements provided in advance to the press, including a description of the most relevant findings of one or more accepted scientific publications, usually under the condition that journalists will adhere to an embargo until the publication date. The existence of centralized platforms such as EurekAlert! allows press releases to be dissemi-nated online as independent news articles. Press releases can include addition-al material (e.g., interviews, commentaries, explanatory tables, figures, media, recommended readings), which turn them into online objects with analytical value of their own. The objective of this work is to illustrate how press releases can be quantitatively analyzed applying similar tools and approaches as those applied in scientometric research (SCI). To achieve this goal, a scientometric-inspired analytical framework is proposed based on the formulation of spaces of interaction of objects, actors, and impacts. As such, the framework proposed considers press releases as science communication (SCO) objects, produced by different SCO actors (e.g., journalists), and the subject of receiving impact (e.g., tweets, links). To carry out this analysis, all press releases published by Eure-kAlert! from 1996 until 2021 (455,703 press releases), all tweets including at least one URL referring to a EurekAlert! press release (1,364,563 tweets), and all webpages with at least one URL referring to a EurekAlert! press release (54,089,233 webpages) have been studied. We argue that the large volume of press releases published and their online dissemination make these objects relevant in the measurement of SCO-SCI interactions.},
keywords = {Altmetrics, EurekAlert!, Press releases, Science Communication, Scientific News, Scientometrics, Webometrics},
pubstate = {published},
tppubtype = {inbook}
}
Press releases about scholarly news are brief statements provided in advance to the press, including a description of the most relevant findings of one or more accepted scientific publications, usually under the condition that journalists will adhere to an embargo until the publication date. The existence of centralized platforms such as EurekAlert! allows press releases to be dissemi-nated online as independent news articles. Press releases can include addition-al material (e.g., interviews, commentaries, explanatory tables, figures, media, recommended readings), which turn them into online objects with analytical value of their own. The objective of this work is to illustrate how press releases can be quantitatively analyzed applying similar tools and approaches as those applied in scientometric research (SCI). To achieve this goal, a scientometric-inspired analytical framework is proposed based on the formulation of spaces of interaction of objects, actors, and impacts. As such, the framework proposed considers press releases as science communication (SCO) objects, produced by different SCO actors (e.g., journalists), and the subject of receiving impact (e.g., tweets, links). To carry out this analysis, all press releases published by Eure-kAlert! from 1996 until 2021 (455,703 press releases), all tweets including at least one URL referring to a EurekAlert! press release (1,364,563 tweets), and all webpages with at least one URL referring to a EurekAlert! press release (54,089,233 webpages) have been studied. We argue that the large volume of press releases published and their online dissemination make these objects relevant in the measurement of SCO-SCI interactions.
3.
Aytac, Selenay; Bautista-Puig, Nuria; Orduña-Malea, Enrique; Tran, Clara Y.
Contribution of carbon footprint research towards the triple bottom line of sustainability Artículo de revista
En: Environ Sci Pollut Res, vol. 30, pp. 88331–88349, 2023, ISSN: 1614-7499.
Resumen | Enlaces | BibTeX | Etiquetas: Bibliometrics, Carbon Footprint, Scientometrics, Sustainability, Sustainable Development Goals, Triple Bottom Line
@article{Aytac2023,
title = {Contribution of carbon footprint research towards the triple bottom line of sustainability},
author = {Selenay Aytac and Nuria Bautista-Puig and Enrique Orduña-Malea and Clara Y. Tran},
doi = {10.1007/s11356-023-28799-w},
issn = {1614-7499},
year = {2023},
date = {2023-07-16},
urldate = {2023-07-16},
journal = {Environ Sci Pollut Res},
volume = {30},
pages = {88331--88349},
publisher = {Springer Science and Business Media LLC},
abstract = {Carbon footprint (CF) research has received increasing attention in recent years, as evidenced by a rise in publications and citations, reflecting a growing concern for the environmental impact of human activities. However, the alignment of this scientific literature with the three dimensions of sustainability performance provided by the TBL paradigm (people, planet, and profit) has received limited attention. This study addresses this research gap by undertaking a large-scale bibliometric analysis of 9032 Web of Science (WoS) publications from 1992 to 2020. At the macro (journals) and micro (papers) levels, a methodology approach to classify research publications according to TBL dimensions was designed. The results indicate that the output and impact of CF research are balanced with respect to the environmental (planet) and economic (prosperity/profit) dimensions, while the social impact is balanced with respect to the people+profit dimensions. Other than that, “Affordable and Clean Energy” (3761 publications) and “Climate Action” (3091 publications) are the most frequently represented (and interconnected) objectives. The results obtained contribute to a greater understanding of the contribution of CF research to the attainment of the SDGs.},
keywords = {Bibliometrics, Carbon Footprint, Scientometrics, Sustainability, Sustainable Development Goals, Triple Bottom Line},
pubstate = {published},
tppubtype = {article}
}
Carbon footprint (CF) research has received increasing attention in recent years, as evidenced by a rise in publications and citations, reflecting a growing concern for the environmental impact of human activities. However, the alignment of this scientific literature with the three dimensions of sustainability performance provided by the TBL paradigm (people, planet, and profit) has received limited attention. This study addresses this research gap by undertaking a large-scale bibliometric analysis of 9032 Web of Science (WoS) publications from 1992 to 2020. At the macro (journals) and micro (papers) levels, a methodology approach to classify research publications according to TBL dimensions was designed. The results indicate that the output and impact of CF research are balanced with respect to the environmental (planet) and economic (prosperity/profit) dimensions, while the social impact is balanced with respect to the people+profit dimensions. Other than that, “Affordable and Clean Energy” (3761 publications) and “Climate Action” (3091 publications) are the most frequently represented (and interconnected) objectives. The results obtained contribute to a greater understanding of the contribution of CF research to the attainment of the SDGs.
4.
Thelwall, Mike; Kousha, Kayvan; Abdoli, Mahshid; Stuart, Emma; Makita, Meiko; Font-Julian, Cristina I; Wilson, Paul; Levitt, Jonathan
Is research funding always beneficial? A cross-disciplinary analysis of U.K. research 2014–20 Artículo de revista
En: Quantitative Science Studies, vol. 4, no 2, pp. 501–534, 2023, ISSN: 2641-3337.
Resumen | Enlaces | BibTeX | Etiquetas: Academic Careers, Research Funding, Research Grants, Research Quality, Scientometrics
@article{Thelwall2023,
title = {Is research funding always beneficial? A cross-disciplinary analysis of U.K. research 2014–20},
author = {Mike Thelwall and Kayvan Kousha and Mahshid Abdoli and Emma Stuart and Meiko Makita and Cristina I Font-Julian and Paul Wilson and Jonathan Levitt},
doi = {10.1162/qss_a_00254},
issn = {2641-3337},
year = {2023},
date = {2023-05-01},
urldate = {2023-05-01},
journal = {Quantitative Science Studies},
volume = {4},
number = {2},
pages = {501--534},
publisher = {MIT Press},
abstract = {Although 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 U.K. 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 U.K.’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}
}
Although 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 U.K. 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 U.K.’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.