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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Orduña-Malea, Enrique; Lopezosa, Carlos
The NASA videos collection on Twitch dataset
2024.
Resumen | Enlaces | BibTeX | Etiquetas: Informetrics, NASA, Science Communication, Social Media Metrics, Twitch
@dataset{OrduñaMalea2024,
title = {The NASA videos collection on Twitch},
author = {Enrique Orduña-Malea and Carlos Lopezosa },
doi = {10.4995/dataset/10251/201304},
year = {2024},
date = {2024-01-02},
urldate = {2024-01-02},
publisher = {Universitat Politecnica de Valencia},
abstract = {This dataset includes the raw data used to conduct a Twitch case study. The dataset includes the metrics collected from Twitch API to characterize a specific channel (NASA), the bibliographic data collected from bibliographic databases to systematically review the literature about Twitch, supplementary material, and the scripts used to collect data from Twitch API. },
keywords = {Informetrics, NASA, Science Communication, Social Media Metrics, Twitch},
pubstate = {published},
tppubtype = {dataset}
}
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}
}