@article{haley2014ranking,
  abstract = {Recently, Harzing's Publish or Perish software was updated to include Microsoft Academic Search as a second citation database search option for computing various citation-based metrics. This article explores the new search option by scoring 50 top economics and finance journals and comparing them with the results obtained using the original Google Scholar-based search option. The new database delivers significantly smaller scores for all metrics, but the rank correlations across the two databases for the h-index, g-index, AWCR, and e-index are significantly correlated, especially when the time frame is restricted to more recent years. Comparisons are also made to the Article Influence score from eigenfactor.org and to the RePEc h-index, both of which adjust for journal-level self-citations.},
  author = {Haley, M. Ryan},
  doi = {10.1002/asi.23080},
  interhash = {4c6796cff62fe5c8a8cf638f9785cd14},
  intrahash = {29feb827b9f64fa5828eb4e6298d38f7},
  issn = {2330-1643},
  journal = {Journal of the Association for Information Science and Technology},
  number = 5,
  pages = {1079--1084},
  title = {Ranking top economics and finance journals using Microsoft academic search versus Google scholar: How does the new publish or perish option compare?},
  url = {http://dx.doi.org/10.1002/asi.23080},
  volume = 65,
  year = 2014
}

@misc{priem2012altmetrics,
  abstract = {In growing numbers, scholars are integrating social media tools like blogs,
Twitter, and Mendeley into their professional communications. The online,
public nature of these tools exposes and reifies scholarly processes once
hidden and ephemeral. Metrics based on this activities could inform broader,
faster measures of impact, complementing traditional citation metrics. This
study explores the properties of these social media-based metrics or
"altmetrics", sampling 24,331 articles published by the Public Library of
Science.
  We find that that different indicators vary greatly in activity. Around 5% of
sampled articles are cited in Wikipedia, while close to 80% have been included
in at least one Mendeley library. There is, however, an encouraging diversity;
a quarter of articles have nonzero data from five or more different sources.
Correlation and factor analysis suggest citation and altmetrics indicators
track related but distinct impacts, with neither able to describe the complete
picture of scholarly use alone. There are moderate correlations between
Mendeley and Web of Science citation, but many altmetric indicators seem to
measure impact mostly orthogonal to citation. Articles cluster in ways that
suggest five different impact "flavors", capturing impacts of different types
on different audiences; for instance, some articles may be heavily read and
saved by scholars but seldom cited. Together, these findings encourage more
research into altmetrics as complements to traditional citation measures.},
  author = {Priem, Jason and Piwowar, Heather A. and Hemminger, Bradley M.},
  interhash = {629744ad15197eedde33f8444c3e8e01},
  intrahash = {e22613ac29fd25f21430739a4c3e001c},
  note = {cite arxiv:1203.4745v1Comment: 5 tables, 13 figures},
  title = {Altmetrics in the wild: Using social media to explore scholarly impact},
  url = {http://arxiv.org/abs/1203.4745},
  year = 2012
}

@article{yan2011spread,
  abstract = {        <p>The presence of web-based communities is a distinctive signature of Web 2.0. The web-based feature means that information propagation within each community is highly facilitated, promoting complex collective dynamics in view of information exchange. In this work, we focus on a community of scientists and study, in particular, how the awareness of a scientific paper is spread. Our work is based on the web usage statistics obtained from the PLoS Article Level Metrics dataset compiled by PLoS. The cumulative number of HTML views was found to follow a long tail distribution which is reasonably well-fitted by a lognormal one. We modeled the diffusion of information by a random multiplicative process, and thus extracted the rates of information spread at different stages after the publication of a paper. We found that the spread of information displays two distinct decay regimes: a rapid downfall in the first month after publication, and a gradual power law decay afterwards. We identified these two regimes with two distinct driving processes: a short-term behavior driven by the fame of a paper, and a long-term behavior consistent with citation statistics. The patterns of information spread were found to be remarkably similar in data from different journals, but there are intrinsic differences for different types of web usage (HTML views and PDF downloads versus XML). These similarities and differences shed light on the theoretical understanding of different complex systems, as well as a better design of the corresponding web applications that is of high potential marketing impact.</p>
      },
  author = {Yan, Koon-Kiu and Gerstein, Mark},
  doi = {10.1371/journal.pone.0019917},
  interhash = {5ff7675888626380767e22ad7f672279},
  intrahash = {221dd554089fd1b1918b345fffbd74ce},
  journal = {PLoS ONE},
  month = {05},
  number = 5,
  pages = {e19917},
  publisher = {Public Library of Science},
  title = {The Spread of Scientific Information: Insights from the Web Usage Statistics in PLoS Article-Level Metrics},
  url = {http://dx.doi.org/10.1371%2Fjournal.pone.0019917},
  volume = 6,
  year = 2011
}

@inproceedings{barilan2012beyond,
  abstract = {Traditionally, scholarly impact and visibility have been measured by counting
publications and citations in the scholarly literature. However, increasingly
scholars are also visible on the Web, establishing presences in a growing
variety of social ecosystems. But how wide and established is this presence,
and how do measures of social Web impact relate to their more traditional
counterparts? To answer this, we sampled 57 presenters from the 2010 Leiden STI
Conference, gathering publication and citations counts as well as data from the
presenters' Web "footprints." We found Web presence widespread and diverse: 84%
of scholars had homepages, 70% were on LinkedIn, 23% had public Google Scholar
profiles, and 16% were on Twitter. For sampled scholars' publications, social
reference manager bookmarks were compared to Scopus and Web of Science
citations; we found that Mendeley covers more than 80% of sampled articles, and
that Mendeley bookmarks are significantly correlated (r=.45) to Scopus citation
counts.},
  author = {Bar-Ilan, Judit and Haustein, Stefanie and Peters, Isabella and Priem, Jason and Shema, Hadas and Terliesner, Jens},
  booktitle = {Proceedings of 17th International Conference on Science and Technology Indicators, Montréal: Science-Metrix and OST},
  editor = {Archambault, Éric and Gingras, Yves and Larivière, Vincent},
  interhash = {5c386f2bfcd8d2052d455c75efb1c727},
  intrahash = {42585cbc0a99d9e137f2a3d6cb0239e5},
  pages = {98-109},
  title = {Beyond citations: Scholars' visibility on the social Web},
  url = {http://2012.sticonference.org/Proceedings/vol1/Bar-Ilan_Beyond_98.pdf},
  volume = 1,
  year = 2012
}

@inproceedings{funk2012socialize,
  address = {Washington D.C. USA},
  author = {Funk, Mathias and Hu, Jun and Rauterberg, Matthias},
  booktitle = {ASE International Conference on Social Informatics (SocialInformatics 2012)},
  doi = {10.1109/SocialInformatics.2012.48},
  interhash = {8af5f0a6e1e971887c262e774dbc1d2a},
  intrahash = {2ec28c051db70947ca8dc0bcd9d44c96},
  pages = {113-120},
  pdf = {http://www.drhu.eu/publications/2012-SocialInformatics-PublishOrPerish.pdf},
  title = {Socialize or Perish: Relating Social Behavior at a Scientific Conference to Publication Citations},
  url = {http://www.drhu.eu/publications/2012-SocialInformatics-PublishOrPerish/index.html},
  year = 2012
}

@article{vaughan2002relationship,
  abstract = {The study found a significant correlation between the number of external links and the journal impact factor for LIS journals. Journals with higher journal impact factor scores tend to attract more links to their Web sites. The study also investigated issues pertaining to data collection methods for webometrics research. It showed that the choice of search engine for data collection could affect the conclusion of a study. Data collected at different time periods were found to be fairly stable. The use of multiple rounds of data collection was shown to be beneficial, especially when the result from a single round of data is borderline significant or inconclusive.},
  author = {Vaughan, Liwen and Hysen, Kathy},
  interhash = {f8a985b736eebc3d58fb82fe78b709ef},
  intrahash = {2dcb5d5265a186cf6bc26833eacc1225},
  journal = {Aslib Proceedings},
  number = 6,
  pages = {356 - 361},
  title = {Relationship between links to journal Web sites and impact factors},
  url = {http://www.emeraldinsight.com/journals.htm?articleid=863971&show=abstract},
  volume = 54,
  year = 2002
}

@article{pastor2001dynamical,
  author = {Pastor-Satorras, R. and V{\'a}zquez, A. and Vespignani, A.},
  interhash = {a27ced257d69009a0d0d84ec8fe0b27c},
  intrahash = {ac8378e4402c80d0f5fcce9ef6ac359f},
  journal = {Physical Review Letters},
  number = 25,
  pages = 258701,
  publisher = {APS},
  title = {{Dynamical and correlation properties of the Internet}},
  url = {http://scholar.google.de/scholar.bib?q=info:KLiz1q2axUQJ:scholar.google.com/&output=citation&hl=de&as_sdt=2000&ct=citation&cd=0},
  volume = 87,
  year = 2001
}

@article{vázquez2002large,
  author = {V{\'a}zquez, A. and Pastor-Satorras, R. and Vespignani, A.},
  interhash = {dbdca844dcfdba3b38f5474ffd35c501},
  intrahash = {021f68af4cda4f9ec4abe10b75e93616},
  journal = {Physical Review E},
  number = 6,
  pages = 66130,
  publisher = {APS},
  title = {{Large-scale topological and dynamical properties of the Internet}},
  url = {http://scholar.google.de/scholar.bib?q=info:sEuhI6oKjFoJ:scholar.google.com/&output=citation&hl=de&as_sdt=2000&ct=citation&cd=0},
  volume = 65,
  year = 2002
}

@article{pastor2001dynamical,
  author = {Pastor-Satorras, R. and V{\'a}zquez, A. and Vespignani, A.},
  interhash = {a27ced257d69009a0d0d84ec8fe0b27c},
  intrahash = {ac8378e4402c80d0f5fcce9ef6ac359f},
  journal = {Physical Review Letters},
  number = 25,
  pages = 258701,
  publisher = {APS},
  title = {{Dynamical and correlation properties of the Internet}},
  url = {http://scholar.google.de/scholar.bib?q=info:KLiz1q2axUQJ:scholar.google.com/&output=citation&hl=de&as_sdt=2000&ct=citation&cd=0},
  volume = 87,
  year = 2001
}