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An optimized approach for community detection and ranking

Overview of attention for article published in Journal of Big Data, November 2016
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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)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

twitter
23 X users

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
27 Mendeley
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Title
An optimized approach for community detection and ranking
Published in
Journal of Big Data, November 2016
DOI 10.1186/s40537-016-0058-z
Authors

Matin Pirouz, Justin Zhan, Shahab Tayeb

X Demographics

X Demographics

The data shown below were collected from the profiles of 23 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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Greece 1 4%
Unknown 26 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 30%
Student > Ph. D. Student 5 19%
Student > Postgraduate 4 15%
Librarian 1 4%
Researcher 1 4%
Other 1 4%
Unknown 7 26%
Readers by discipline Count As %
Computer Science 15 56%
Business, Management and Accounting 2 7%
Environmental Science 1 4%
Agricultural and Biological Sciences 1 4%
Social Sciences 1 4%
Other 0 0%
Unknown 7 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 28 November 2016.
All research outputs
#2,480,438
of 24,995,564 outputs
Outputs from Journal of Big Data
#52
of 378 outputs
Outputs of similar age
#41,701
of 319,699 outputs
Outputs of similar age from Journal of Big Data
#4
of 8 outputs
Altmetric has tracked 24,995,564 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 378 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one has done well, scoring higher than 86% 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 319,699 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 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.