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A human functional protein interaction network and its application to cancer data analysis

Overview of attention for article published in Genome Biology, May 2010
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Mentioned by

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1 Q&A thread

Citations

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559 Dimensions

Readers on

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665 Mendeley
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21 CiteULike
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5 Connotea
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Title
A human functional protein interaction network and its application to cancer data analysis
Published in
Genome Biology, May 2010
DOI 10.1186/gb-2010-11-5-r53
Pubmed ID
Authors

Guanming Wu, Xin Feng, Lincoln Stein

Abstract

One challenge facing biologists is to tease out useful information from massive data sets for further analysis. A pathway-based analysis may shed light by projecting candidate genes onto protein functional relationship networks. We are building such a pathway-based analysis system.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 665 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 11 2%
United Kingdom 9 1%
Germany 4 <1%
Italy 4 <1%
Canada 4 <1%
France 3 <1%
Spain 3 <1%
Australia 2 <1%
Brazil 2 <1%
Other 20 3%
Unknown 603 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 188 28%
Researcher 180 27%
Student > Master 60 9%
Student > Bachelor 48 7%
Student > Doctoral Student 29 4%
Other 94 14%
Unknown 66 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 280 42%
Biochemistry, Genetics and Molecular Biology 129 19%
Computer Science 79 12%
Medicine and Dentistry 41 6%
Engineering 15 2%
Other 42 6%
Unknown 79 12%
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 27 February 2014.
All research outputs
#14,599,159
of 25,373,627 outputs
Outputs from Genome Biology
#3,853
of 4,467 outputs
Outputs of similar age
#81,309
of 104,045 outputs
Outputs of similar age from Genome Biology
#29
of 33 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 13th percentile – i.e., 13% 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 104,045 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.