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Analysis and prediction of antibacterial peptides

Overview of attention for article published in BMC Bioinformatics, January 2007
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (60th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

patent
3 patents

Citations

dimensions_citation
137 Dimensions

Readers on

mendeley
199 Mendeley
citeulike
1 CiteULike
connotea
1 Connotea
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Title
Analysis and prediction of antibacterial peptides
Published in
BMC Bioinformatics, January 2007
DOI 10.1186/1471-2105-8-263
Pubmed ID
Authors

Sneh Lata, BK Sharma, GPS Raghava

Mendeley readers

The data shown below were compiled from readership statistics for 199 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 4 2%
India 2 1%
Brazil 1 <1%
France 1 <1%
Germany 1 <1%
Sweden 1 <1%
Portugal 1 <1%
United States 1 <1%
Poland 1 <1%
Other 0 0%
Unknown 186 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 54 27%
Student > Master 30 15%
Researcher 24 12%
Student > Bachelor 24 12%
Student > Doctoral Student 11 6%
Other 38 19%
Unknown 18 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 76 38%
Chemistry 21 11%
Biochemistry, Genetics and Molecular Biology 20 10%
Computer Science 15 8%
Medicine and Dentistry 14 7%
Other 27 14%
Unknown 26 13%

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 22 May 2018.
All research outputs
#3,818,321
of 12,974,522 outputs
Outputs from BMC Bioinformatics
#1,809
of 4,842 outputs
Outputs of similar age
#103,224
of 271,710 outputs
Outputs of similar age from BMC Bioinformatics
#7
of 22 outputs
Altmetric has tracked 12,974,522 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 4,842 research outputs from this source. They receive a mean Attention Score of 4.8. 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 271,710 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 60% of its contemporaries.
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 has gotten more attention than average, scoring higher than 68% of its contemporaries.