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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. " "Accepted to 17th International Conference on Science and Technology Indicators, Montreal, Canada, 5-8 Sept. 2012."

Comparison of three citation tools for tracking dataset citations

from the abstract: "assessing the influence of spatial proximity between scientists is crucial to promote efficient collaboration strategies and, ultimately, to improve the quality of science. Here we present a systematic analysis of citation and collaboration streams between cities and countries. By assigning papers to the geographic locations of their authors' affiliations, we construct weighted networks of citations and collaborations. The citation flows as well as the collaboration strengths between cities decrease with the distance between them and follow gravity laws with exponents close to 1. Moreover, for a given number of authors, the diversity of affiliations increases the number of citations, especially when many countries are represented. In addition, the total research impact of a country grows linearly with the amount of national funding for research & development. However, the average impact reveals a peculiar threshold effect: the scientific output of a country may reach an impact larger than the world average only if the country invests more than 120,000 US $ per researcher annually. Our results reveal the overall structure of scientific research by showing the correlation between collaboration, citation, geography and funding, and could provide valuable inputs in shaping the future science policies."

Acyclic digraphs arise in many natural and artificial processes. Among the broader set, dynamic citation networks represent a substantively important form of acyclic digraphs. For example, the study of such networks includes the spread of ideas through academic citations, the spread of innovation through patent citations, and the development of precedent in common law systems. The specific dynamics that produce such acyclic digraphs not only differentiate them from other classes of graphs, but also provide guidance for meaningful distance measures for these networks. We apply our sink based distance measure and the single-linkage hierarchical clustering algorithm to the first quarter century of decisions of the United States Supreme Court. Despite applying the simplest distance measure and a straight forward clustering algorithm, qualitative analysis reveals that accurate clusterings are produced by this scheme.

Showing that articles with links to data get higher citation rates might increase the willingness of scientists to take the extra steps of linking data sources to their publications. In this presentation we will show this is indeed the case: articles with links to data result in higher citation rates than articles without such links.

"Conclusion. After accounting for other factors affecting citation rate, we find a robust citation benefit from open data, although a smaller one than previously reported. We conclude there is a direct effect of third-party data reuse that persists for years beyond the time when researchers have published most of the papers reusing their own data. Other factors that may also contribute to the citation benefit are considered. We further conclude that, at least for gene expression microarray data, a substantial fraction of archived datasets are reused, and that the intensity of dataset reuse has been steadily increasing since 2003."

One of the many comparative studies in the field of business and management which point to the conclusion that to see the full impact of HBS faculty article output (as judged by citations) needs to take into account GS (Harzing's), WoS and Scopus.

The DataCite Metadata Scheme is a list of core metadata properties chosen for the accurate and consistent identification of data for citation and retrieval purposes, along with recommended use instructions. At a minimum, the mandatory metadata scheme properties must be provided at the time of identifier registration

"As more sources for citation information have become available - even many scholarly databases today offering cited reference data - the need to identify, access and manage these resources is becoming acute. Information professionals need to become more proactive in their strategies to support these applications and users. .."

Gargouri Y, Hajjem C, Larivière V, Gingras Y, Carr L, Brody T, Harnad S. Self-Selected or Mandated, Open Access Increases Citation Impact for Higher Quality Research. PLoS ONE. 2010;5(10):e13636+. doi:10.1371/journal.pone.0013636.

summarizes recent OA citation studies (Alma Swan)

Scholarometer(beta) is a social tool to facilitate citation analysis and help evaluate the impact of an author's publications. Developed at Indiana University School of Informatics and Computing

Publish or Perish is a software program that retrieves and analyzes academic citations from Google Scholar

STAR METRICS programme - "The first aim of the programme is to build a 'clean' database of all federally funded researchers in the United States ... Later on, the plan is to track patents, citations and other metrics of the research's impact. ... researchers' use of the Internet to communicate and publish will enable STAR METRICS to track the creation and transfer of knowledge properly for the first time"

Intricate maps of science have been created from citation data to visualize the structure of scientific activity. However, most scientific publications are now accessed online. Scholarly web portals record detailed log data at a scale that exceeds the num

The impact of scientific publications has traditionally been expressed in terms of citation counts. However, scientific activity has moved online over the past decade. To better capture scientific impact in the digital era, a variety of new impact measure

Formerly, the impact of authors and their scientific production was measured by the average citation frequencies of journals publishing their research: the Journal Impact Factor (JIF), calculated by the Institute for Scientific Information (ISI) in the United States and published annually in the Journal Citation Reports (JCR)-the most frequently used quantitative indicator to measure the quality/value/impact of research works published in the core international journals. It has been suggested that, by calculating the number of webpages pointing to a given site, analogously, a Web Impact Factor can be calculated as a way of comparing the attractiveness of sites or domains on the World Wide Web.

Elsevier [is announcing the] launch of Article-Based Publishing -- a new publishing model that publishes articles as final and citable without needing to wait until a journal issue is complete. With an increasing focus on online publishing, there is a growing need for innovative publication models geared towards individual articles instead of the print-based issue model. Article-Based Publishing is the assigning of final citation data on an article-by-article basis, decoupled from the compilation of the journal issue itself.

ReaderMeter adapts two popular impact metrics for authors (the H-Index [1] and the G-Index [2]) and redefines them using bookmarks instead of citations as an HR-Index and a GR-Index respectively: hover over the index values for an explanation of their meaning.

critique of an earlier asrtcle by Harnad and others http://arxiv.org/abs/1001.0361