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An integrative approach to inferring biologically meaningful gene modules

Overview of attention for article published in BMC Systems Biology, July 2011
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
75 Mendeley
citeulike
2 CiteULike
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Title
An integrative approach to inferring biologically meaningful gene modules
Published in
BMC Systems Biology, July 2011
DOI 10.1186/1752-0509-5-117
Pubmed ID
Authors

Ji-Hoon Cho, Kai Wang, David J Galas

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 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 4%
Germany 2 3%
Italy 2 3%
United Kingdom 2 3%
Sweden 1 1%
India 1 1%
Colombia 1 1%
Unknown 63 84%

Demographic breakdown

Readers by professional status Count As %
Researcher 27 36%
Student > Ph. D. Student 20 27%
Student > Master 11 15%
Professor 4 5%
Other 2 3%
Other 8 11%
Unknown 3 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 41 55%
Biochemistry, Genetics and Molecular Biology 11 15%
Computer Science 10 13%
Mathematics 3 4%
Medicine and Dentistry 2 3%
Other 4 5%
Unknown 4 5%

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 26 July 2011.
All research outputs
#11,256,373
of 17,389,828 outputs
Outputs from BMC Systems Biology
#622
of 1,115 outputs
Outputs of similar age
#110,058
of 189,631 outputs
Outputs of similar age from BMC Systems Biology
#1
of 1 outputs
Altmetric has tracked 17,389,828 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,115 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 33rd percentile – i.e., 33% 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 189,631 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them