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Overview of attention for article published in BMC Bioinformatics, January 2005
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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
251 Dimensions

Readers on

mendeley
217 Mendeley
citeulike
7 CiteULike
connotea
6 Connotea
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Title
Published in
BMC Bioinformatics, January 2005
DOI 10.1186/1471-2105-6-227
Pubmed ID
Authors

Cecily J Wolfe, Isaac S Kohane, Atul J Butte

Abstract

Biological processes are carried out by coordinated modules of interacting molecules. As clustering methods demonstrate that genes with similar expression display increased likelihood of being associated with a common functional module, networks of coexpressed genes provide one framework for assigning gene function. This has informed the guilt-by-association (GBA) heuristic, widely invoked in functional genomics. Yet although the idea of GBA is accepted, the breadth of GBA applicability is uncertain.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 217 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 3%
United Kingdom 4 2%
Belgium 2 <1%
Germany 2 <1%
Israel 1 <1%
South Africa 1 <1%
Australia 1 <1%
India 1 <1%
Italy 1 <1%
Other 5 2%
Unknown 192 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 70 32%
Researcher 47 22%
Student > Master 24 11%
Professor > Associate Professor 12 6%
Student > Doctoral Student 10 5%
Other 34 16%
Unknown 20 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 90 41%
Biochemistry, Genetics and Molecular Biology 40 18%
Computer Science 35 16%
Medicine and Dentistry 12 6%
Engineering 3 1%
Other 12 6%
Unknown 25 12%

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 15 September 2014.
All research outputs
#2,363,701
of 4,504,683 outputs
Outputs from BMC Bioinformatics
#1,791
of 2,646 outputs
Outputs of similar age
#56,124
of 117,144 outputs
Outputs of similar age from BMC Bioinformatics
#88
of 115 outputs
Altmetric has tracked 4,504,683 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,646 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 23rd percentile – i.e., 23% 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 117,144 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 115 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.