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MSDmotif: exploring protein sites and motifs

Overview of attention for article published in BMC Bioinformatics, July 2008
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11 Wikipedia pages

Citations

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120 Dimensions

Readers on

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81 Mendeley
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8 CiteULike
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3 Connotea
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Title
MSDmotif: exploring protein sites and motifs
Published in
BMC Bioinformatics, July 2008
DOI 10.1186/1471-2105-9-312
Pubmed ID
Authors

Adel Golovin, Kim Henrick

Abstract

Protein structures have conserved features - motifs, which have a sufficient influence on the protein function. These motifs can be found in sequence as well as in 3D space. Understanding of these fragments is essential for 3D structure prediction, modelling and drug-design. The Protein Data Bank (PDB) is the source of this information however present search tools have limited 3D options to integrate protein sequence with its 3D structure.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
Indonesia 1 1%
Australia 1 1%
Italy 1 1%
Czechia 1 1%
Iraq 1 1%
Unknown 74 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 32%
Student > Ph. D. Student 20 25%
Student > Master 10 12%
Professor > Associate Professor 7 9%
Student > Bachelor 3 4%
Other 7 9%
Unknown 8 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 32 40%
Chemistry 19 23%
Biochemistry, Genetics and Molecular Biology 12 15%
Computer Science 4 5%
Immunology and Microbiology 2 2%
Other 4 5%
Unknown 8 10%
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
#23,533
of 67,307 outputs
Outputs of similar age from BMC Bioinformatics
#14
of 33 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 67,307 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.