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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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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

patent
1 patent

Citations

dimensions_citation
49 Dimensions

Readers on

mendeley
96 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

The data shown below were compiled from readership statistics for 96 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%
Brazil 1 1%
Netherlands 1 1%
Canada 1 1%
Slovenia 1 1%
Denmark 1 1%
United Kingdom 1 1%
Unknown 82 85%

Demographic breakdown

Readers by professional status Count As %
Researcher 28 29%
Student > Ph. D. Student 25 26%
Student > Bachelor 9 9%
Student > Master 9 9%
Professor 8 8%
Other 15 16%
Unknown 2 2%
Readers by discipline Count As %
Agricultural and Biological Sciences 42 44%
Biochemistry, Genetics and Molecular Biology 21 22%
Computer Science 16 17%
Engineering 3 3%
Physics and Astronomy 3 3%
Other 6 6%
Unknown 5 5%

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
#4,589,078
of 14,839,307 outputs
Outputs from BMC Bioinformatics
#2,104
of 5,509 outputs
Outputs of similar age
#50,782
of 132,716 outputs
Outputs of similar age from BMC Bioinformatics
#2
of 5 outputs
Altmetric has tracked 14,839,307 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,509 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 53% 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 132,716 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.