Usage bibliometrics

  title={Usage bibliometrics},
  author={Michael J. Kurtz and Johan Bollen},
  journal={Annu. Rev. Inf. Sci. Technol.},
Scholarly usage data provides unique opportunities to address the known shortcomings of citation analysis. However, the collection, processing and analysis of usage data remains an area of active research. This article provides a review of the state-of-the-art in usage-based informetric, i.e. the use of usage data to study the scholarly process. 

Usage patterns of scholarly articles on Web of Science: a study on Web of Science usage count

Using the “Usage Count” provided by the Web of Science platform, the usage data of five journals in the field of Information Science and Library Science is collected and analyzed, finding that the distribution of usage fits a power law and researchers prefer to use more recent papers.

Selected critical examples of scientometric publication analysis

  • P. Ingwersen
  • Medicine
    BiD: textos universitaris de biblioteconomia i documentaci�
  • 2014
Growth, world share analyses and the logic behind the computation of average numbers of authors, institutions or countries per publication indexed by Web of Science are focused on.

Comparing People with Bibliometrics

Rules of thumb are given for when begin to use bibliometric measures when comparing otherwise similar candidates.

Metrics for openness

Several metrics to describe different facets of open access and open research are proposed to represent the public availability of articles along with their archival location, licenses, access costs, and supporting information.

Using Bibliometrics to Demonstrate the Value of Library Journal Collections

This paper analyzes over 400,000 cited references made by authors affiliated with the National Oceanic and Atmospheric Administration between 2009 and 2013 to suggest cited reference analyses should be periodically updated to reflect changes in authors' referencing behavior.

Usage Bibliometrics as a Tool to Measure Research Activity

How download statistics can be used to describe research activity at different levels of aggregation, ranging from organizations to countries is described, and it is argued that astronomy is representative of more general trends.

Theories of Informetrics and Scholarly Communication

This book is a much needed compilation by leading scholars in the field that gathers together the theories that guide the understanding of authorship, citing, and impact.

On the Possibilities of Evaluating Properties of Scientific Documents on the Basis of their Citations Count (or again: What Property is Reflected by Citations Count par excellence, after all?). Part 1: Value

The objective is consideration of the most recent works on the problem of the phenomenon reflected by citations count of scientific documents. The method is interpretation of recent research

Readership Data and Research Impact

This chapter discusses the use of download and reference manager data for research evaluation and library collection development, with a focus on the validity and application of readership data as an impact indicator for academic publications across different disciplines.

Filling the citation gap: measuring the multidimensional impact of the academic book at institutional level with PlumX

A low presence of altmetric indicators for monographs is observed, even lower than for journal articles and a predominance of library holdings, confirming this indicator as the most promising one towards the analysis of the impact of books.



Progress in Documentation the Complexities of citation Practice: a Review of citation studies

This review focusses on the citation studies that have explored the complexities and the underlying norms of the citation process, and the studies which have dealt with citation functions, citation quality, citation concepts and citation motivation.

Toward a definition of “bibliometrics”

A crucial question is whether Zipf's law of word occurrence should be considered a part of this particular sub-discipline of ‘bibliometrics’.


A two-semester study of science periodicals usage at State University of New York at Albany was conducted to identify little used titles for storage or possibly discard. Even in this large

Towards usage-based impact metrics: first results from the mesur project.

Some major challenges related to aggregating and processing usage data are described, and preliminary results obtained from analyzing the MESUR reference data set confirm the intrinsic value of scholarly usage data, and support the feasibility of reliable and valid usage-based metrics of scholarly impact.

Mapping subsets of scholarly information

The use of machine learning techniques are illustrated to analyze, structure, maintain, and evolve a large online corpus of academic literature, permitting the implementation of a more coherent community structure for its practitioners.

Earlier Web Usage Statistics as Predictors of Later Citation Impact

This paper analyses how short-term Web usage impact predicts medium-term citation impact and uses the physics e-print archive -- -- to test this.

Usage Impact Factor: the effects of sample characteristics on usage-based impact metrics

It is observed that as the number of graduate students and faculty increases in a particular discipline, Usage Impact Factor rankings will converge more strongly with the ISI Impact Factor.

Bibliometrics and beyond: some thoughts on web-based citation analysis

This work states that as scientific publication moves to the web, and novel approaches to scholarly communication and peer review establish themselves, new methods of citation and link analysis will emerge to capture often liminal expressions of peer esteem, influence and approbation.

Bibliometric models for management of an information store. II. Use as a function of age of material

The distribution of use of items in a large information store is examined. The findings suggest that a simple exponential distribution is inadequate and that a multi‐factor exponential model