Scholarly success is traditionally measured in terms of citations to publications. With the advent of publication man- agement and digital libraries on the web, scholarly usage data has become a target of investigation and new impact metrics computed on such usage data have been proposed – so called altmetrics. In scholarly social bookmarking sys- tems, scientists collect and manage publication meta data and thus reveal their interest in these publications. In this work, we investigate connections between usage metrics and citations, and find posts, exports, and page views of publications to be correlated to citations.
%0 Conference Paper
%1 zoller2015publication
%A Zoller, Daniel
%A Doerfel, Stephan
%A Jäschke, Robert
%A Stumme, Gerd
%A Hotho, Andreas
%B Proceedings of the 2015 ACM Conference on Web Science
%C New York, NY, USA
%D 2015
%I ACM
%K 2015 altmetrics bookmarking citations cycle itegpub life myown poster publication scientometrics sdomyown usage webSci impact social
%P 67:1--67:2
%R 10.1145/2786451.2786927
%T On Publication Usage in a Social Bookmarking System
%U http://doi.acm.org/10.1145/2786451.2786927
%X Scholarly success is traditionally measured in terms of citations to publications. With the advent of publication man- agement and digital libraries on the web, scholarly usage data has become a target of investigation and new impact metrics computed on such usage data have been proposed – so called altmetrics. In scholarly social bookmarking sys- tems, scientists collect and manage publication meta data and thus reveal their interest in these publications. In this work, we investigate connections between usage metrics and citations, and find posts, exports, and page views of publications to be correlated to citations.
%@ 978-1-4503-3672-7
@inproceedings{zoller2015publication,
abstract = {Scholarly success is traditionally measured in terms of citations to publications. With the advent of publication man- agement and digital libraries on the web, scholarly usage data has become a target of investigation and new impact metrics computed on such usage data have been proposed – so called altmetrics. In scholarly social bookmarking sys- tems, scientists collect and manage publication meta data and thus reveal their interest in these publications. In this work, we investigate connections between usage metrics and citations, and find posts, exports, and page views of publications to be correlated to citations.},
acmid = {2786927},
added-at = {2015-10-14T11:40:00.000+0200},
address = {New York, NY, USA},
articleno = {67},
author = {Zoller, Daniel and Doerfel, Stephan and Jäschke, Robert and Stumme, Gerd and Hotho, Andreas},
biburl = {https://www.bibsonomy.org/bibtex/2548a7010ee2726f28e04e5c6e5fd6e2d/kde-alumni},
booktitle = {Proceedings of the 2015 ACM Conference on Web Science},
doi = {10.1145/2786451.2786927},
interhash = {3515b34cd19959cee5fafbf4467a75ed},
intrahash = {548a7010ee2726f28e04e5c6e5fd6e2d},
isbn = {978-1-4503-3672-7},
keywords = {2015 altmetrics bookmarking citations cycle itegpub life myown poster publication scientometrics sdomyown usage webSci impact social},
location = {Oxford, United Kingdom},
numpages = {2},
pages = {67:1--67:2},
publisher = {ACM},
series = {WebSci '15},
timestamp = {2016-11-29T17:46:26.000+0100},
title = {On Publication Usage in a Social Bookmarking System},
url = {http://doi.acm.org/10.1145/2786451.2786927},
year = 2015
}