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Gene function prediction based on genomic context clustering and discriminative learning: an application to bacteriophages

Overview of attention for article published in BMC Bioinformatics, May 2007
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Mentioned by

patent
1 patent

Citations

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10 Dimensions

Readers on

mendeley
29 Mendeley
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1 Connotea
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Title
Gene function prediction based on genomic context clustering and discriminative learning: an application to bacteriophages
Published in
BMC Bioinformatics, May 2007
DOI 10.1186/1471-2105-8-s4-s6
Pubmed ID
Authors

Jason Li, Saman K Halgamuge, Christopher I Kells, Sen-Lin Tang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 2 7%
United States 2 7%
United Kingdom 1 3%
Unknown 24 83%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 28%
Student > Bachelor 4 14%
Other 3 10%
Student > Ph. D. Student 3 10%
Student > Doctoral Student 2 7%
Other 5 17%
Unknown 4 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 45%
Computer Science 5 17%
Medicine and Dentistry 3 10%
Biochemistry, Genetics and Molecular Biology 1 3%
Social Sciences 1 3%
Other 1 3%
Unknown 5 17%
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 30 January 2020.
All research outputs
#7,481,847
of 22,870,727 outputs
Outputs from BMC Bioinformatics
#3,029
of 7,297 outputs
Outputs of similar age
#24,993
of 70,913 outputs
Outputs of similar age from BMC Bioinformatics
#22
of 47 outputs
Altmetric has tracked 22,870,727 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 7,297 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 70,913 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.