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Identification of ATP binding residues of a protein from its primary sequence

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

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2 Wikipedia pages

Citations

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118 Dimensions

Readers on

mendeley
98 Mendeley
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1 CiteULike
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1 Connotea
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Title
Identification of ATP binding residues of a protein from its primary sequence
Published in
BMC Bioinformatics, December 2009
DOI 10.1186/1471-2105-10-434
Pubmed ID
Authors

Jagat S Chauhan, Nitish K Mishra, Gajendra PS Raghava

Abstract

One of the major challenges in post-genomic era is to provide functional annotations for large number of proteins arising from genome sequencing projects. The function of many proteins depends on their interaction with small molecules or ligands. ATP is one such important ligand that plays critical role as a coenzyme in the functionality of many proteins. There is a need to develop method for identifying ATP interacting residues in a ATP binding proteins (ABPs), in order to understand mechanism of protein-ligands interaction.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 4 4%
South Africa 1 1%
United Kingdom 1 1%
China 1 1%
United States 1 1%
Unknown 90 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 27%
Researcher 16 16%
Student > Bachelor 10 10%
Student > Master 8 8%
Student > Doctoral Student 5 5%
Other 13 13%
Unknown 20 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 31 32%
Biochemistry, Genetics and Molecular Biology 25 26%
Chemistry 6 6%
Computer Science 4 4%
Engineering 3 3%
Other 8 8%
Unknown 21 21%
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 21 February 2017.
All research outputs
#7,454,951
of 22,790,780 outputs
Outputs from BMC Bioinformatics
#3,023
of 7,280 outputs
Outputs of similar age
#48,262
of 163,735 outputs
Outputs of similar age from BMC Bioinformatics
#22
of 59 outputs
Altmetric has tracked 22,790,780 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 163,735 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.