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Empirical analysis of web-based user-object bipartite networks

Overview of attention for article published in EPL (Europhysics Letters), June 2010
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
104 Dimensions

Readers on

mendeley
56 Mendeley
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Title
Empirical analysis of web-based user-object bipartite networks
Published in
EPL (Europhysics Letters), June 2010
DOI 10.1209/0295-5075/90/48006
Authors

Ming-Sheng Shang, Linyuan Lü, Yi-Cheng Zhang, Tao Zhou

Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
Belgium 1 2%
Australia 1 2%
China 1 2%
France 1 2%
Unknown 50 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 27%
Researcher 9 16%
Professor > Associate Professor 6 11%
Student > Doctoral Student 4 7%
Professor 3 5%
Other 13 23%
Unknown 6 11%
Readers by discipline Count As %
Computer Science 21 38%
Physics and Astronomy 9 16%
Engineering 8 14%
Economics, Econometrics and Finance 4 7%
Business, Management and Accounting 3 5%
Other 4 7%
Unknown 7 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 October 2016.
All research outputs
#1,895,243
of 12,380,321 outputs
Outputs from EPL (Europhysics Letters)
#169
of 3,242 outputs
Outputs of similar age
#60,040
of 269,825 outputs
Outputs of similar age from EPL (Europhysics Letters)
#7
of 45 outputs
Altmetric has tracked 12,380,321 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,242 research outputs from this source. They receive a mean Attention Score of 2.1. This one has done particularly well, scoring higher than 94% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 269,825 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.