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Motivated Proteins: A web application for studying small three-dimensional protein motifs

Overview of attention for article published in BMC Bioinformatics, February 2009
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Mentioned by

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11 Wikipedia pages

Citations

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27 Dimensions

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24 Mendeley
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1 CiteULike
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Title
Motivated Proteins: A web application for studying small three-dimensional protein motifs
Published in
BMC Bioinformatics, February 2009
DOI 10.1186/1471-2105-10-60
Pubmed ID
Authors

David P Leader, E James Milner-White

Abstract

Small loop-shaped motifs are common constituents of the three-dimensional structure of proteins. Typically they comprise between three and seven amino acid residues, and are defined by a combination of dihedral angles and hydrogen bonding partners. The most abundant of these are alphabeta-motifs, asx-motifs, asx-turns, beta-bulges, beta-bulge loops, beta-turns, nests, niches, Schellmann loops, ST-motifs, ST-staples and ST-turns. We have constructed a database of such motifs from a range of high-quality protein structures and built a web application as a visual interface to this.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 4%
Germany 1 4%
Unknown 22 92%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 21%
Other 4 17%
Student > Master 3 13%
Researcher 3 13%
Student > Ph. D. Student 3 13%
Other 3 13%
Unknown 3 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 21%
Biochemistry, Genetics and Molecular Biology 4 17%
Chemistry 4 17%
Immunology and Microbiology 2 8%
Physics and Astronomy 2 8%
Other 4 17%
Unknown 3 13%
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 11 October 2019.
All research outputs
#7,454,427
of 22,789,566 outputs
Outputs from BMC Bioinformatics
#3,023
of 7,280 outputs
Outputs of similar age
#50,013
of 172,009 outputs
Outputs of similar age from BMC Bioinformatics
#19
of 54 outputs
Altmetric has tracked 22,789,566 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 7,280 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 172,009 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.