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Computational survey of peptides derived from disulphide-bonded protein loops that may serve as mediators of protein-protein interactions

Overview of attention for article published in BMC Bioinformatics, September 2014
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2 X users

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28 Mendeley
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Title
Computational survey of peptides derived from disulphide-bonded protein loops that may serve as mediators of protein-protein interactions
Published in
BMC Bioinformatics, September 2014
DOI 10.1186/1471-2105-15-305
Pubmed ID
Authors

Fergal J Duffy, Marc Devocelle, David R Croucher, Denis C Shields

Abstract

Bioactive cyclic peptides derived from natural sources are well studied, particularly those derived from non-ribosomal synthetases in fungi or bacteria. Ribosomally synthesised bioactive disulphide-bonded loops represent a large, naturally enriched library of potential bioactive compounds, worthy of systematic investigation.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ireland 1 4%
Unknown 27 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 32%
Student > Master 5 18%
Student > Ph. D. Student 3 11%
Other 2 7%
Student > Doctoral Student 1 4%
Other 5 18%
Unknown 3 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 25%
Biochemistry, Genetics and Molecular Biology 5 18%
Chemistry 4 14%
Computer Science 3 11%
Arts and Humanities 1 4%
Other 2 7%
Unknown 6 21%
Attention Score in Context

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 24 September 2014.
All research outputs
#18,345,702
of 23,577,761 outputs
Outputs from BMC Bioinformatics
#6,094
of 7,418 outputs
Outputs of similar age
#169,728
of 251,220 outputs
Outputs of similar age from BMC Bioinformatics
#90
of 113 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,418 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 12th percentile – i.e., 12% 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 251,220 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 113 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.