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Characterizing Social Media Metrics of Scholarly Papers: The Effect of Document Properties and Collaboration Patterns

A number of new metrics based on social media platforms—grouped under the term “altmetrics”—have recently been introduced as potential indicators of research impact. Despite their current popularity, there is a lack of information regarding the determinants of these metrics. Using publication and ci...

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Detalles Bibliográficos
Autores principales: Haustein, Stefanie, Costas, Rodrigo, Larivière, Vincent
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4363625/
https://www.ncbi.nlm.nih.gov/pubmed/25780916
http://dx.doi.org/10.1371/journal.pone.0120495
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author Haustein, Stefanie
Costas, Rodrigo
Larivière, Vincent
author_facet Haustein, Stefanie
Costas, Rodrigo
Larivière, Vincent
author_sort Haustein, Stefanie
collection PubMed
description A number of new metrics based on social media platforms—grouped under the term “altmetrics”—have recently been introduced as potential indicators of research impact. Despite their current popularity, there is a lack of information regarding the determinants of these metrics. Using publication and citation data from 1.3 million papers published in 2012 and covered in Thomson Reuters’ Web of Science as well as social media counts from Altmetric.com, this paper analyses the main patterns of five social media metrics as a function of document characteristics (i.e., discipline, document type, title length, number of pages and references) and collaborative practices and compares them to patterns known for citations. Results show that the presence of papers on social media is low, with 21.5% of papers receiving at least one tweet, 4.7% being shared on Facebook, 1.9% mentioned on blogs, 0.8% found on Google+ and 0.7% discussed in mainstream media. By contrast, 66.8% of papers have received at least one citation. Our findings show that both citations and social media metrics increase with the extent of collaboration and the length of the references list. On the other hand, while editorials and news items are seldom cited, it is these types of document that are the most popular on Twitter. Similarly, while longer papers typically attract more citations, an opposite trend is seen on social media platforms. Finally, contrary to what is observed for citations, it is papers in the Social Sciences and humanities that are the most often found on social media platforms. On the whole, these findings suggest that factors driving social media and citations are different. Therefore, social media metrics cannot actually be seen as alternatives to citations; at most, they may function as complements to other type of indicators.
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spelling pubmed-43636252015-03-23 Characterizing Social Media Metrics of Scholarly Papers: The Effect of Document Properties and Collaboration Patterns Haustein, Stefanie Costas, Rodrigo Larivière, Vincent PLoS One Research Article A number of new metrics based on social media platforms—grouped under the term “altmetrics”—have recently been introduced as potential indicators of research impact. Despite their current popularity, there is a lack of information regarding the determinants of these metrics. Using publication and citation data from 1.3 million papers published in 2012 and covered in Thomson Reuters’ Web of Science as well as social media counts from Altmetric.com, this paper analyses the main patterns of five social media metrics as a function of document characteristics (i.e., discipline, document type, title length, number of pages and references) and collaborative practices and compares them to patterns known for citations. Results show that the presence of papers on social media is low, with 21.5% of papers receiving at least one tweet, 4.7% being shared on Facebook, 1.9% mentioned on blogs, 0.8% found on Google+ and 0.7% discussed in mainstream media. By contrast, 66.8% of papers have received at least one citation. Our findings show that both citations and social media metrics increase with the extent of collaboration and the length of the references list. On the other hand, while editorials and news items are seldom cited, it is these types of document that are the most popular on Twitter. Similarly, while longer papers typically attract more citations, an opposite trend is seen on social media platforms. Finally, contrary to what is observed for citations, it is papers in the Social Sciences and humanities that are the most often found on social media platforms. On the whole, these findings suggest that factors driving social media and citations are different. Therefore, social media metrics cannot actually be seen as alternatives to citations; at most, they may function as complements to other type of indicators. Public Library of Science 2015-03-17 /pmc/articles/PMC4363625/ /pubmed/25780916 http://dx.doi.org/10.1371/journal.pone.0120495 Text en © 2015 Haustein et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Haustein, Stefanie
Costas, Rodrigo
Larivière, Vincent
Characterizing Social Media Metrics of Scholarly Papers: The Effect of Document Properties and Collaboration Patterns
title Characterizing Social Media Metrics of Scholarly Papers: The Effect of Document Properties and Collaboration Patterns
title_full Characterizing Social Media Metrics of Scholarly Papers: The Effect of Document Properties and Collaboration Patterns
title_fullStr Characterizing Social Media Metrics of Scholarly Papers: The Effect of Document Properties and Collaboration Patterns
title_full_unstemmed Characterizing Social Media Metrics of Scholarly Papers: The Effect of Document Properties and Collaboration Patterns
title_short Characterizing Social Media Metrics of Scholarly Papers: The Effect of Document Properties and Collaboration Patterns
title_sort characterizing social media metrics of scholarly papers: the effect of document properties and collaboration patterns
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4363625/
https://www.ncbi.nlm.nih.gov/pubmed/25780916
http://dx.doi.org/10.1371/journal.pone.0120495
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