Hacia los estudios de medios sociales de la ciencia: las métricas de los medios sociales, presente y futuro

Costas, Rodrigo Hacia los estudios de medios sociales de la ciencia: las métricas de los medios sociales, presente y futuro. Bibliotecas. Anales de Investigación, 2017, vol. 13, n. 1, pp. 1-5. [Journal article (Paginated)]


Download (232kB) | Preview

English abstract

During the last years a new research topic has rapidly emerged in the field of scientometrics. This new topic, popularly known as altmetrics, was first proposed in the Altmetrics manifesto (Priem et al., 2010). Since its proposal, altmetrics has been a concept of difficult definition (Haustein, Bowman & Costas, 2016), even being considered as “a good idea, but a bad name” (Rousseau & Ye, 2013). Altmetrics have been usually related to new metrics around scholarly objects captured through events recorded in online social media platforms (Haustein et al., 2016). However, the large diversity of sources and metrics that fall within the realm of altmetrics has made it hard to come up with a consensus of what can be considered as altmetrics (Haustein et al., 2016).

Item type: Journal article (Paginated)
Keywords: social media metrics; altmetrics; research evaluation
Subjects: B. Information use and sociology of information > BB. Bibliometric methods
Depositing user: Bibliotecas Anales de Investigación
Date deposited: 26 Jul 2018 07:29
Last modified: 26 Jul 2018 07:29
URI: http://hdl.handle.net/10760/31619


Alperin, J.P. (2015). Geographic variation in social media metrics: an analysis of Latin American journal articles. Aslib Journal of Information Management; 67(3), 289-304. doi: 10.1108/AJIM-12-2014-0176.

Bae, Y.; & Lee, H. (2012). Sentiment analysis of twitter audiences: measuring the positive or negative influence of popular twitterers. Journal of the Association for Information Science and Technology, 63(12), 2521-2535. doi: 10.1002/asi.22768.

Bornmann, L. (2013). What is societal impact of research and how can it be assessed? A literature survey. Journal of the American Society for Information Science and Technology; 64(2), 217-233. doi: 10.1002/asi.22803.

Costas, R.; Honk, J. Van; Calero-Medina, C.; & Zahedi, Z. (2017). Exploring the descriptive power of altmetrics: case study of Africa , USA and EU28 countries (2012-2014). In STI 2017: Science, Technology and Innovation indicators. Paris.

Costas, R.; van Honk, J.; & Franssen, T. (2017). Scholars on Twitter: who and how many are they ? In Submitted to the 16th International Conference on Scientometrics and Informetrics (ISSI), 16-20 October 2017. Wuhan, China.

Costas, R.; Zahedi, Z.; & Wouters, P. (2015). Do “altmetrics” correlate with citations? Extensive comparison of altmetric indicators with citations from a multidisciplinary perspective. Journal of the Association for Information Science and Technology, 66(10), 2003-2019. doi: 10.1002/asi.23309.

Costas, R.; Zahedi, Z.; & Wouters, P. (2015). The thematic orientation of publications mentioned on social media: large-scale disciplinary comparison of social media metrics with citations. Aslib Journal of Information Management, 67(3). doi: 10.1108/AJIM-12-2014-0173.

Fraumann, G. (2017). Valuation of altmetrics in research funding. Retrieved from https://tampub.uta.fi/bitstream/handle/10024/101653/GRADU-1498478872.pdf?sequence=1

González-Valiente, C.L.; Pacheco-Mendoza, J.; & Arencibia-Jorge, R. (2016). A review of altmetrics as an emerging discipline for research evaluation. Learned Publishing; 29(4), 229-238. doi: 10.1002/leap.1043.

Haustein, S. (2016). Grand challenges in altmetrics: heterogeneity, data quality and dependencies. Scientometrics; 108(1), 413-423. doi: 10.1007/s11192-016-1910-9.

Haustein, S.; Bowman, T.D.; & Costas, R. (2015). Communities of attention around journal papers: who is tweeting about scientific publications? In Social Media and Society 2015 International Conference. Toronto. Retrieved from https://www.slideshare.net/StefanieHaustein/communities-of-attention-around-journal-papers-who-is-tweeting-about-scientific-publications

Haustein, S.; Bowman, T.D.; & Costas, R. (2016). Interpreting “altmetrics”: viewing acts on social media through the lens of citation and social theories. In C.R. Sugimoto (Ed.), Theories of Informetrics: A Festschrift in Honor of Blaise Cronin (pp. 372-405). Berlin: De Gruyter Mouton.

Haustein, S.; Bowman, T.D.; Holmberg, K.; Tsou, A.; Sugimoto, C.R.; & Larivière, V. (2015). Automated Twitter accounts in scholarly communication and their effects on tweets as impact indicators. Journal of the Association for Information Science and Technology. In press.

Haustein, S.; Costas, R.; & Larivière, V. (2015). Characterizing social media metrics of scholarly papers: the effect of document properties and collaboration patterns. PloS ONE; 10(3), e0120495. doi: 10.1371/journal.pone.0120495

Haustein, S.; Peters, I.; Sugimoto, C.R.; Thelwall, M.; & Larivière, V. (2014). Tweeting biomedicine: an analysis of tweets and citations in the biomedical literature. Journal of the Association for Information Sciences and Technology; 65(4), 656-669. doi: 10.1002/asi.23101.

Ke, Q.; Ahn, Y.Y.; & Sugimoto, C.R. (2017). A systematic identification and analysis of scientists on Twitter. PLoS ONE; 12(4), e0175368. doi: 10.1371/journal.pone.0175368.

Li, X.; & Thelwall, M. (2012). F1000, Mendeley and traditional bibliometric indicators. In 17th International Conference on Science and Technology Indicators (Vol. 3, pp. 1-11).

Priem, J.; Taraborelli, D.; Groth, P.; & Neylon, C. (2010). Alt-metrics: a manifesto. Retrieved from http://altmetrics.org/manifesto/

Rousseau, R.; & Ye, F.Y. (2013). A multi-metric approach for research evaluation. Chinese Science Bulletin; 58(26), 3288-3290. doi: 10.1007/s11434-013-5939-3.

Sugimoto, C.R., Work, S., Larivière, V., & Haustein, S. (2017). Scholarly use of social media and altmetrics: a review of the literature. Journal of the Association for Information Science and Technology. doi: 10.1002/asi.23833.

Thelwall, M.; Haustein, S.; Larivière, V.; & Sugimoto, C.R. (2013). Do altmetrics work? Twitter and ten other social web services. PLoS ONE; 8(5), e64841. doi: 10.1371/journal.pone.0064841.

Thelwall, M.; & Kousha, K. (2015). Web indicators for research evaluation . Part 2: Social media metrics. El Profesional de la Información; 24(5), 607-620.

van Honk, J.; & Costas, R. (2016). Integrating context in Twitter metrics : preliminary investigation on the possibilities of hashtags as an altmetric resource. In altmetrics16. Moving beyond counts: integrating context (pp. 1-7). Bucharest, Romania.

Wouters, P.; & Costas, R. (2012). Users , narcissism and control - tracking the impact of scholarly publications in the 21 st century. In M. Van Berchum & K. Russell (Eds.), Image Rochester NY. SURFfoundation. Retrieved from http://www.surffoundation.nl/en/publicaties/Pages/Users_narcissism_control.aspx

Wouters, P.; Zahedi, Z.; & Costas, R. (2017). Social media metrics for new scientific evaluations. In press.

Zahedi, Z. (2017). Could we start to talk about an “altmetric divide”? On the imbalance in the access and use of social media platforms across countries. Bucharest: 3:AM Conference. Retrieved from https://openaccess.leidenuniv.nl/handle/1887/47014

Zahedi, Z.; Costas, R.; & Wouters, P. (2017). Mendeley readership as a filtering tool to identify highly cited publications. Journal of the Association for Information Science and Technology, 1-18. doi: 10.1002/asi.23883.1.

Zahedi, Z.; Costas, R.; & Wouters, P. (2013). How well developed are altmetrics? cross-disciplinary analysis of the presence of “alternative metrics” in scientific publications (RIP). In Proceedings of ISSI 2013 - 14th International Society of Scientometrics and Informetrics Conference (Vol. 1).


Downloads per month over past year

Actions (login required)

View Item View Item