2021, Number 2
<< Back Next >>
Revista Habanera de Ciencias Médicas 2021; 20 (2)
Academic and social impact of COVID-19 research in Dimensions database
Ortiz NR, Rodríguez GY
Language: Spanish
References: 27
Page: 1-14
PDF size: 963.64 Kb.
ABSTRACT
Introduction:
The need for immediate evidence and reliable results of COVID-19 has generated an unprecedented revolution in scientific communication systems. It is a real race of science against the expansion of the new coronavirus that generates impacts in all areas.
Objective:
To analyze the academic and social impact of the scientific results of COVID-19 in Dimensions database.
Material and Methods:
A cross-sectional observational and descriptive study was conducted. The study analyzed the presence, productivity and influence of research on COVID-19, as well as its impact and use in social and scientific platforms through bibliometric and altmetric indicators.
Results:
In total, 84.3 % are articles published in scientific journals, 14 % correspond to preprints, and 82.2 % of the publications are open access articles. The publications reach a high number of citations and high altmetric scores with a predominance of activity on Twitter.
Conclusions:
Scientific research on COVID-19 has been published, mainly directly and in openly available thematic or institutional repositories. There are correlations regarding the academic and social impact of works published in high impact journals; however, the analysis at the article level shows a low correspondence between citations and mentions on social networks.
REFERENCES
Carod Artal FJ. Neurological complications of coronavirus and COVID-19. Rev Neurol [Internet]. 2020 [Citado 07/08/2020];70(9):311-22. Disponible en: Disponible en: http://dx.doi.org/10.33588/rn.7009.2020179
Organización Panamericana de la Salud. Preguntas frecuentes sobre las vacunas candidatas contra la COVID-19 y mecanismos de acceso [Internet]. Washington: OPS; 2020 [Citado 04/09/2020]. Disponible en: Disponible en: https://www.paho.org/es/documentos/preguntas-frecuentes-sobre-vacunas-candidatas-contra-covid-19-mecanismos-acceso-version
Johns Hopkins University. Coronavirus Resource Center. [Internet]. Baltimore: JHU; 2020 [Citado 04/09/2020]. Disponible en: Disponible en: https://coronavirus.jhu.edu
Chahrour MA. Bibliometric Analysis of COVID-19 Research Activity: A call for increased output. Cureus [Internet]. 2020 [Citado 07/08/2020];12(3):e7357. Disponible en: Disponible en: https://doi.org/doi:10.7759/cureus.7357
Torres Salinas D. Daily growth rate of scientific production on COVID-19. Analysis in databases and open access repositories. Profes Inform [Internet]. 2020 [Citado 07/08/2020];29(2):[Aprox. 2 p.]. Disponible en: Disponible en: https://doi.org/10.3145/epi.2020.mar.15
Ortiz Núñez R. Metric analysis of the scientific production about COVID-19 in Scopus. Rev Cubana Inf Ciencias Salud [Internet]. 2020 [Citado 07/08/2020];31(3):1-20. Disponible en: Disponible en: http://www.rcics.sld.cu/index.php/acimed/article/vi ew/1587
Gregorio Chaviano O, Limaymanta CH, López Mesa EK. Bibliometric evaluation of Latin American contributions on COVID-19 Estudio bibliométrico sobre el COVID-19. Biomédica [Internet]. 2020 [Citado 07/08/2020];40:[Aprox. 12 p.]. Disponible en: Disponible en: https://revistabiomedica.org/index.php/biomedica/a rticle/download/5571/4576
Ortiz Núñez R. Producción científica sobre COVID-19 y pediatría en Scopus (2019-julio de 2020). Rev Cubana Pediatría [Internet]. 2020. [Citado 07/08/2020];92(Supl.):e1269. Disponible en: Disponible en: http://www.revpediatria.sld.cu/index.php/ped/article/view/1269/647
Glänzel W. Bibliometrics as a research field a course on theory and application of bibliometric indicators. Course Handouts [Internet]. 2003. [Citado 07/08/2020]. Disponible en: Disponible en: https://www.researchgate.net/publication/242406991_Bibliometrics_as_a_research_field_A_course_on_theory_and_application_of_bibliometric_indicators
Das AK, Mishra S. Genesis of Altmetrics or Article-Level Metrics for Measuring Efficacy of Scholarly Communications: Current Perspectives. J Scientometric Res [Internet]. 2014 [Citado 10/08/2020];3(2):82-92. Disponible en: Disponible en: http://doi.org/10.4103/2320-0057.145622
Williams A. Altmetrics: an overview and evaluation. Online Inform Rev [Internet]. 2017 [Citado 10/08/2020];41(3):311-7. Disponible en: Disponible en: https://doi.org/10.1108/OIR-10-2016-0294
Olmeda Gómez C, Perianes Rodríguez A. Altmetrics as a research specialty (Dimensions, 2005-2018). Profes Inform [Internet]. 2019 [Citado 15/08/2020];28(6):e280508. Disponible en: Disponible en: https://doi.org/10.3145/epi.2019.nov.08
Kupferschmidt K. Preprints bring ‘firehose’of outbreak data. Science [Internet]. 2020 [Citado 07/08/2020];367(6481):963-4. Disponible en: Disponible en: http://science.sciencemag.org/content/367/6481/96 3.abstract
Larrivière V, Shu F, Sugimoto C. The Coronavirus (COVID-19) outbreak highlights serious deficiencies in scholarly communication [Internet]. London: LSE Impact Blog [Internet]. 2020 [Citado 15/08/2020]. Disponible en: Disponible en: https://blogs.lse.ac.uk/impactofsocialsciences/2020/03/05/the-coronavirus-covid-19-outbreakhighlights-serious-deficiencies-in-scholarly-communication/
López Cózar ED, Martín Martín A. La viralidad de la ciencia defectuosa: el contagioso impacto mediático de un preprint en bioRxiv sobre el coronavirus y sus efectos en la comunicación científica [Internet]. España: Universidad de Granada; 2020 [Citado 15/08/2020]. Disponible en: Disponible en: https://digibug.ugr.es/handle/10481/60872
Pérez Dasilva JA, Meso Ayerdi K, Mendiguren Galdospín T. Fake news y coronavirus: detección de los principales actores y tendencias a través del análisis de las conversaciones en Twitter. Profes Inform [Internet]. 2020 [Citado 15/08/2020];29(3):e290308. Disponible en: Disponible en: https://doi.org/10.3145/epi.2020.may.08
Albalawi Y, Nikolov NS, Buckley J. Trustworthy health-related tweets on social media in Saudi Arabia: Tweet metadata analysis. J Med Internet Res [Internet]. 2019 [Citado 15/08/2020];21(10):e14731. Disponible en: Disponible en: https://doi.org/10.2196/14731
Wood MJ. Propagating and debunking conspiracy theories on Twitter during the 2015-2016 Zika virus outbreak. Cyberpsychol Behav Soc Netw [Internet]. 2018 [Citado 20/08/2020];21(8):485-90. Disponible en: Disponible en: https://doi.org/10.1089/cyber.2017.0669
Waltman L, Costas R. F1000 recommendations as a potential new data source for research evaluation: a comparison with citations. J Assoc Inf Sci Technol [Internet]. 2014 [Citado 20/08/2020];65(3):433-445. Disponible en: Disponible en: http://dx.doi.org/10.1002/asi.23040
Haustein S, Peters I, Sugimoto CR, Thelwall M, Larivière V. Tweeting biomedicine: an analysis of tweets and citations in the biomedical literature”. J Assoc Inf Sci Technol [Internet]. 2014 [Citado 20/08/2020];65(4):656-69. Disponible en: Disponible en: http://dx.doi.org/10.1002/asi.23101
Shema H, Bar Ilan, J, Thelwall M. Do blog citations correlate with a higher number of future citations? Research blogs as a potential source for alternative metrics. J Assoc Inf Sci Technol [Internet]. 2014 [Citado 25/08/2020];65(5):1018-27. Disponible en: Disponible en: http://dx.doi.org/10.1002/asi.23037
Odlum M, Yoon S. What can we learn about the Ebola outbreak from tweets?. Am J Infect Control [Internet]. 2015 [Citado 25/08/2020];43(6):563-71. Disponible en: Disponible en: https://doi.org/10.1016/j.ajic.2015.02.023
Scanfeld D, Scanfeld V, Larson EL. Dissemination of health information through social networks: Twitter and antibiotics. Am J Infect Control [Internet]. 2010 [Citado 25/08/2020];38(3):182-8. Disponible en: Disponible en: https://doi.org/10.1016/j.ajic.2009.11.004
Bornmann L, Robin H, Werner M. Policy documents as sources for measuring societal impact: how often is climate change research mentioned in policy-relatedocuments?. Scientometrics [Internet]. 2016 [Citado 02/09/2020];109(3):14771495. Disponible en: https://doi.org/10.1007/s11192-016-2115-y
Thelwall M, Kousha K. Web indicators for research evaluation. Part 2: Social media metrics. Profes Inform [Internet]. 2015 [Citado 02/09/2020];24(5):607-20. Disponible en: Disponible en: http://dx.doi.org/10.3145/epi.2015.sep.09
Bornmann L, Haunschild R. Do altmetrics correlate with the quality of papers? A large-scale empirical study based on F1000Prime data. PLoS One [Internet]. 2018 [Citado 02/09/2020];13(5):e0197133. Disponible en: Disponible en: https://doi.org/10.1371/journal.pone.0197133
Borrego A. Altmétricas para la evaluación de la investigación y el análisis de necesidades de información. Profes Inform [Internet]. 2014 [Citado 02/09/2020];23(4):352-7. Disponible en: Disponible en: http://dx.doi.org/10.3145/epi.2014.jul.02