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Gene differential coexpression analysis based on biweight correlation and maximum clique

Overview of attention for article published in BMC Bioinformatics, December 2014
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Mentioned by

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2 tweeters

Citations

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37 Dimensions

Readers on

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24 Mendeley
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Title
Gene differential coexpression analysis based on biweight correlation and maximum clique
Published in
BMC Bioinformatics, December 2014
DOI 10.1186/1471-2105-15-s15-s3
Pubmed ID
Authors

Chun-Hou Zheng, Lin Yuan, Wen Sha, Zhan-Li Sun

Twitter Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Taiwan 1 4%
Unknown 23 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 25%
Student > Master 4 17%
Student > Ph. D. Student 3 13%
Student > Doctoral Student 1 4%
Student > Bachelor 1 4%
Other 1 4%
Unknown 8 33%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 21%
Biochemistry, Genetics and Molecular Biology 4 17%
Computer Science 3 13%
Mathematics 1 4%
Immunology and Microbiology 1 4%
Other 3 13%
Unknown 7 29%

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 02 April 2015.
All research outputs
#9,508,795
of 12,373,386 outputs
Outputs from BMC Bioinformatics
#3,582
of 4,588 outputs
Outputs of similar age
#142,292
of 220,601 outputs
Outputs of similar age from BMC Bioinformatics
#2
of 2 outputs
Altmetric has tracked 12,373,386 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,588 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 16th percentile – i.e., 16% 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 220,601 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.