Article Downloads, Twitter Mentions, and Citations JO - PB - C1 - PY - 2012/ VL - IS - SP - EP - UR - http://arxiv.org/abs/1202.2461 DO - KW - arxiv KW - citation KW - download KW - preprint KW - twitter KW - webometrics L1 - N1 - [1202.2461] How the Scientific Community Reacts to Newly Submitted Preprints: Article Downloads, Twitter Mentions, and Citations N1 - AB - We analyze the online response of the scientific community to the preprint
publication of scholarly articles. We employ a cohort of 4,606 scientific
articles submitted to the preprint database arXiv.org between October 2010 and
April 2011. We study three forms of reactions to these preprints: how they are
downloaded on the arXiv.org site, how they are mentioned on the social media
site Twitter, and how they are cited in the scholarly record. We perform two
analyses. First, we analyze the delay and time span of article downloads and
Twitter mentions following submission, to understand the temporal configuration
of these reactions and whether significant differences exist between them.
Second, we run correlation tests to investigate the relationship between
Twitter mentions and both article downloads and article citations. We find that
Twitter mentions follow rapidly after article submission and that they are
correlated with later article downloads and later article citations, indicating
that social media may be an important factor in determining the scientific
impact of an article. ER - TY - JOUR AU - Brody, Tim AU - Harnad, Stevan AU - Carr, Leslie T1 - Earlier Web usage statistics as predictors of later citation impact JO - Journal of the American Society for Information Science and Technology PY - 2006/ VL - 57 IS - 8 SP - 1060 EP - 1072 UR - http://dx.doi.org/10.1002/asi.20373 DO - 10.1002/asi.20373 KW - arxiv KW - citation KW - download KW - impact KW - prediction KW - webometrics L1 - SN - N1 - Earlier Web usage statistics as predictors of later citation impact - Brody - 2006 - Journal of the American Society for Information Science and Technology - Wiley Online Library N1 - AB - The use of citation counts to assess the impact of research articles is well established. However, the citation impact of an article can only be measured several years after it has been published. As research articles are increasingly accessed through the Web, the number of times an article is downloaded can be instantly recorded and counted. One would expect the number of times an article is read to be related both to the number of times it is cited and to how old the article is. The authors analyze how short-term Web usage impact predicts medium-term citation impact. The physics e-print archive—arXiv.org—is used to test this. ER -