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The maximum clique enumeration problem: algorithms, applications, and implementations

Overview of attention for article published in BMC Bioinformatics, June 2012
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
33 Dimensions

Readers on

mendeley
35 Mendeley
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Title
The maximum clique enumeration problem: algorithms, applications, and implementations
Published in
BMC Bioinformatics, June 2012
DOI 10.1186/1471-2105-13-s10-s5
Pubmed ID
Authors

John D Eblen, Charles A Phillips, Gary L Rogers, Michael A Langston

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 6%
Spain 1 3%
India 1 3%
France 1 3%
Unknown 30 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 43%
Researcher 4 11%
Student > Master 3 9%
Student > Doctoral Student 2 6%
Student > Bachelor 2 6%
Other 4 11%
Unknown 5 14%
Readers by discipline Count As %
Computer Science 11 31%
Agricultural and Biological Sciences 6 17%
Engineering 6 17%
Business, Management and Accounting 1 3%
Physics and Astronomy 1 3%
Other 4 11%
Unknown 6 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 26 February 2017.
All research outputs
#7,522,368
of 22,957,478 outputs
Outputs from BMC Bioinformatics
#3,035
of 7,309 outputs
Outputs of similar age
#55,176
of 165,035 outputs
Outputs of similar age from BMC Bioinformatics
#39
of 97 outputs
Altmetric has tracked 22,957,478 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,309 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 50% 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 165,035 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 97 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.