Using the Co-Citation Network to Indicate Article Impact
Using the Co-Citation Network to Indicate Article Impact
Scholarly outputs are growing in number and frequency, driving the requirement to research new early indication metrics. Historically, citations have been used as an independent indication of the significance of scholarly material. However, citations are very slow to accrue since they can only be made by subsequently published material. This enforces a delay of a number of years before the citation impact of a publication can be accurately judged. Existing early indication metrics, such as download metrics and web based link analysis, have obtained correlation results. Brody finds a good correlation between download metrics and subsequent impact by citation, while Thelwall finds very little correlation between Google's PageRank and the number of links (or citations) to a web site, suggesting neither is a good surrogate indicator for the other. While valid studies, neither take account of the quality assessment factor of peer-review citation. This work presents an investigation into new metrics which utilize the co-citation network in order to rate a publications impact.
Tarrant, David
4aec820b-6055-4f58-abeb-1cc901eb19f2
Carr, Les
0572b10e-039d-46c6-bf05-57cce71d3936
Tarrant, David
4aec820b-6055-4f58-abeb-1cc901eb19f2
Carr, Les
0572b10e-039d-46c6-bf05-57cce71d3936
Tarrant, David and Carr, Les
(2011)
Using the Co-Citation Network to Indicate Article Impact.
Alt-Metrics Workshop @ Web Science 2011, Koblenz, Germany.
14 - 18 Jun 2011.
(In Press)
Record type:
Conference or Workshop Item
(Other)
Abstract
Scholarly outputs are growing in number and frequency, driving the requirement to research new early indication metrics. Historically, citations have been used as an independent indication of the significance of scholarly material. However, citations are very slow to accrue since they can only be made by subsequently published material. This enforces a delay of a number of years before the citation impact of a publication can be accurately judged. Existing early indication metrics, such as download metrics and web based link analysis, have obtained correlation results. Brody finds a good correlation between download metrics and subsequent impact by citation, while Thelwall finds very little correlation between Google's PageRank and the number of links (or citations) to a web site, suggesting neither is a good surrogate indicator for the other. While valid studies, neither take account of the quality assessment factor of peer-review citation. This work presents an investigation into new metrics which utilize the co-citation network in order to rate a publications impact.
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alt-metrix.pdf
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Accepted/In Press date: June 2011
Additional Information:
Event Dates: 14th to 18th June,2011
Venue - Dates:
Alt-Metrics Workshop @ Web Science 2011, Koblenz, Germany, 2011-06-14 - 2011-06-18
Organisations:
Web & Internet Science
Identifiers
Local EPrints ID: 272684
URI: http://eprints.soton.ac.uk/id/eprint/272684
PURE UUID: 5cb70011-317e-42fa-8ca7-66c8edc4f901
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Date deposited: 18 Aug 2011 14:41
Last modified: 15 Mar 2024 02:33
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Author:
David Tarrant
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