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Evaluation of clustering algorithms for protein-protein interaction networks

Overview of attention for article published in BMC Bioinformatics, November 2006
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1 X user

Citations

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719 Dimensions

Readers on

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518 Mendeley
citeulike
25 CiteULike
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8 Connotea
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Title
Evaluation of clustering algorithms for protein-protein interaction networks
Published in
BMC Bioinformatics, November 2006
DOI 10.1186/1471-2105-7-488
Pubmed ID
Authors

Sylvain Brohée, Jacques van Helden

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 518 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 12 2%
France 10 2%
United Kingdom 7 1%
Germany 6 1%
India 4 <1%
Brazil 4 <1%
Russia 2 <1%
Italy 2 <1%
Australia 2 <1%
Other 14 3%
Unknown 455 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 135 26%
Researcher 126 24%
Student > Master 57 11%
Student > Bachelor 40 8%
Professor > Associate Professor 23 4%
Other 72 14%
Unknown 65 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 169 33%
Computer Science 103 20%
Biochemistry, Genetics and Molecular Biology 82 16%
Medicine and Dentistry 14 3%
Engineering 13 3%
Other 65 13%
Unknown 72 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 20 December 2018.
All research outputs
#23,196,437
of 25,837,817 outputs
Outputs from BMC Bioinformatics
#7,348
of 7,763 outputs
Outputs of similar age
#89,139
of 91,695 outputs
Outputs of similar age from BMC Bioinformatics
#63
of 63 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,763 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 91,695 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.