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Predicting genetic interactions with random walks on biological networks

Overview of attention for article published in BMC Bioinformatics, January 2009
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Mentioned by

patent
1 patent

Citations

dimensions_citation
57 Dimensions

Readers on

mendeley
103 Mendeley
citeulike
9 CiteULike
connotea
3 Connotea
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Title
Predicting genetic interactions with random walks on biological networks
Published in
BMC Bioinformatics, January 2009
DOI 10.1186/1471-2105-10-17
Pubmed ID
Authors

Kyle C Chipman, Ambuj K Singh

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 5%
Germany 3 3%
Netherlands 1 <1%
Brazil 1 <1%
Canada 1 <1%
United Kingdom 1 <1%
Denmark 1 <1%
Slovenia 1 <1%
Unknown 89 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 28 27%
Student > Ph. D. Student 26 25%
Student > Bachelor 9 9%
Student > Master 9 9%
Professor 8 8%
Other 18 17%
Unknown 5 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 42 41%
Biochemistry, Genetics and Molecular Biology 22 21%
Computer Science 17 17%
Mathematics 3 3%
Physics and Astronomy 3 3%
Other 8 8%
Unknown 8 8%
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 31 January 2019.
All research outputs
#7,610,760
of 23,205,257 outputs
Outputs from BMC Bioinformatics
#3,058
of 7,354 outputs
Outputs of similar age
#49,750
of 171,870 outputs
Outputs of similar age from BMC Bioinformatics
#27
of 65 outputs
Altmetric has tracked 23,205,257 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 7,354 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 171,870 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.