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Mendeley readers
Attention Score in Context
Title |
Systematic survey reveals general applicability of "guilt-by-association" within gene coexpression networks
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Published in |
BMC Bioinformatics, September 2005
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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. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 279 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 | 1% |
Germany | 2 | <1% |
Belgium | 2 | <1% |
Italy | 1 | <1% |
Australia | 1 | <1% |
Portugal | 1 | <1% |
India | 1 | <1% |
Israel | 1 | <1% |
Other | 5 | 2% |
Unknown | 254 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 74 | 27% |
Researcher | 56 | 20% |
Student > Master | 32 | 11% |
Student > Doctoral Student | 18 | 6% |
Student > Bachelor | 17 | 6% |
Other | 41 | 15% |
Unknown | 41 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 103 | 37% |
Biochemistry, Genetics and Molecular Biology | 53 | 19% |
Computer Science | 35 | 13% |
Medicine and Dentistry | 16 | 6% |
Engineering | 5 | 2% |
Other | 18 | 6% |
Unknown | 49 | 18% |
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
#18,378,085
of 22,763,032 outputs
Outputs from BMC Bioinformatics
#6,307
of 7,273 outputs
Outputs of similar age
#55,246
of 58,668 outputs
Outputs of similar age from BMC Bioinformatics
#17
of 22 outputs
Altmetric has tracked 22,763,032 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,273 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 5th percentile – i.e., 5% 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 58,668 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.