@article{brody2006earlier,
  abstract = {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.},
  author = {Brody, Tim and Harnad, Stevan and Carr, Leslie},
  doi = {10.1002/asi.20373},
  interhash = {b4ae997250ae110bcc89826cb2a8205c},
  intrahash = {643ec09ec9d1fd641c0416c3d8dde8f6},
  issn = {1532-2890},
  journal = {Journal of the American Society for Information Science and Technology},
  number = 8,
  pages = {1060--1072},
  publisher = {Wiley Subscription Services, Inc., A Wiley Company},
  title = {Earlier Web usage statistics as predictors of later citation impact},
  url = {http://dx.doi.org/10.1002/asi.20373},
  volume = 57,
  year = 2006
}

@inproceedings{kaur2014scholarometer,
  abstract = {Scholarometer (scholarometer.indiana.edu) is a social tool developed to facilitate citation analysis and help evaluate the impact of authors. The Scholarometer service allows scholars to compute various citation-based impact measures. In exchange, users provide disciplinary annotations of authors, which allow for the computation of discipline-specific statistics and discipline-neutral impact metrics. We present here two improvements of our system. First, we integrated a new universal impact metric hs that uses crowdsourced data to calculate the global rank of a scholar across disciplinary boundaries. Second, improvements made in ambiguous name classification have increased the accuracy from 80% to 87%.},
  acmid = {2615669},
  address = {New York, NY, USA},
  author = {Kaur, Jasleen and JafariAsbagh, Mohsen and Radicchi, Filippo and Menczer, Filippo},
  booktitle = {Proceedings of the 2014 ACM Conference on Web Science},
  doi = {10.1145/2615569.2615669},
  interhash = {bfb4274f2a002cde9efbe71faf295e6a},
  intrahash = {4edc2b8ed7acdd1ef8be4d6eefea8718},
  isbn = {978-1-4503-2622-3},
  location = {Bloomington, Indiana, USA},
  numpages = {2},
  pages = {285--286},
  publisher = {ACM},
  series = {WebSci '14},
  title = {Scholarometer: A System for Crowdsourcing Scholarly Impact Metrics},
  url = {http://doi.acm.org/10.1145/2615569.2615669},
  year = 2014
}