Earlier Web Usage Statistics as Predictors of Later Citation Impact

  title={Earlier Web Usage Statistics as Predictors of Later Citation Impact},
  author={Tim Brody and Stevan Harnad},
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 Role Of Citation Context In Predicting Long-Term Citation Profiles: An Experimental Study Based On A Massive Bibliographic Text Dataset

Analyzing a massive dataset of nearly 1.5 million computer science articles and more than 26 million citation contexts, it is shown that average countX and average citeWords discriminate between various citation ranges as well as citation categories.

The relationship between usage and citations in an open access mega-journal

An observational study of usage and citation data collected about the multidisciplinary, open access mega-journal Scientific Reports finds that articles with high usage in the first six months are more likely to have their first citation earlier and that higher citations in thefirst two years since publication are related to higher usage.

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.

Understanding the Impact of Early Citers on Long-Term Scientific Impact

It is found that influential EC negatively affects LTSI possibly owing to attention stealing, and it is shown that incorporating EC properties in the state-of-the-art supervised citation prediction models leads to high performance margins.

The relationship between web usage and citation statistics for electronics and information technology articles

It is shown that usage significantly precedes citations, such that a usage indicator can predict the future citation impact of papers six months or less after publication.

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.

A Principal Component Analysis of 39 Scientific Impact Measures

The results indicate that the notion of scientific impact is a multi-dimensional construct that can not be adequately measured by any single indicator, although some measures are more suitable than others.

Usage and Citation Metrics for Ranking Algorithms in Legal Information Retrieval Systems

This paper study the development of user clicks and citation counts over time for documents in a Dutch legal search engine, and the relation between citation counts and user clicks is studied.

Predicting the long-term citation impact of recent publications

The Sci-Hub effect on papers’ citations

Using data from 12 leading journals in economics, consumer research, neuroscience, and multidisciplinary research, it is found that articles downloaded from Sci-Hub were cited 1.72 times more than papers not downloaded fromsci-Hub and that the number of downloads was a robust predictor of future citations.



The effect of open access and downloads ('hits') on citation impact: a bibliography of studies

This chronological and comprehensive bibliography of reports showing that open access increases impact as measured by the number of citations provides a way of investigating the meaning of that statement, to understand its effect, to recognise the significant factors involved, and identify the causal relationships between the respective factors.

The bibliometric properties of article readership information

The read–cite diagram is introduced to provide a two-dimensional view of an individual's scientific productivity and it is found that the citation function is proportional to the sum of two of the components of the readership function, proving that the normative theory of citation is true in the mean.

CiteSeer: an autonomous Web agent for automatic retrieval and identification of interesting publications

A Web based information agent that assists the user in the process of performing a scientific literature search and can find papers which are similar to a given paper using word information and byanalyzing common citations made by the papers.

Hubs, authorities, and communities

The Web has become the most visible manifestation of a new medium: a global, populist hypertext, where researchers now release their results to the Web before they appear in print, and corporations list their URLs alongside their toll-free numbers.

The NASA Astrophysics Data System : Sociology , Bibliometrics , and Impact

A simple model to account for an individual's reads and cites is developed and used to show that the position of a person in the read-cite diagram is a function of age, innate productivity, and work history, and it proves that the normative theory of citation is true in the mean.

Scholarly communication and bibliometrics

The Future of Bibliometrics and its Applications: A Case Study of Agricultural Research Within the European Community Core Journals of the Rapidly Changing Research Front of "Superconductivity" is reviewed.

Indexing by Latent Semantic Analysis

A new method for automatic indexing and retrieval to take advantage of implicit higher-order structure in the association of terms with documents (“semantic structure”) in order to improve the detection of relevant documents on the basis of terms found in queries.