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Cluster-based polyrepresentation as science modelling approach for information retrieval

Overview of attention for article published in Scientometrics, November 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

blogs
1 blog
twitter
2 X users

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
25 Mendeley
Title
Cluster-based polyrepresentation as science modelling approach for information retrieval
Published in
Scientometrics, November 2014
DOI 10.1007/s11192-014-1478-1
Authors

Muhammad Kamran Abbasi, Ingo Frommholz

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 4%
United States 1 4%
Germany 1 4%
Unknown 22 88%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 16%
Researcher 4 16%
Student > Ph. D. Student 4 16%
Student > Doctoral Student 3 12%
Other 2 8%
Other 6 24%
Unknown 2 8%
Readers by discipline Count As %
Computer Science 10 40%
Social Sciences 6 24%
Engineering 2 8%
Agricultural and Biological Sciences 1 4%
Psychology 1 4%
Other 1 4%
Unknown 4 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 14 July 2017.
All research outputs
#3,260,332
of 22,772,779 outputs
Outputs from Scientometrics
#677
of 2,673 outputs
Outputs of similar age
#49,174
of 361,642 outputs
Outputs of similar age from Scientometrics
#8
of 47 outputs
Altmetric has tracked 22,772,779 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,673 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has gotten more attention than average, scoring higher than 74% 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 361,642 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 86% of its contemporaries.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.