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Prediction of FAD interacting residues in a protein from its primary sequence using evolutionary information

Overview of attention for article published in BMC Bioinformatics, January 2010
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27 Mendeley
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1 CiteULike
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Title
Prediction of FAD interacting residues in a protein from its primary sequence using evolutionary information
Published in
BMC Bioinformatics, January 2010
DOI 10.1186/1471-2105-11-s1-s48
Pubmed ID
Authors

Nitish K Mishra, Gajendra PS Raghava

Abstract

Flavin binding proteins (FBP) plays a critical role in several biological functions such as electron transport system (ETS). These flavoproteins contain very tightly bound, sometimes covalently, flavin adenine dinucleotide (FAD) or flavin mono nucleotide (FMN). The interaction between flavin nucleotide and amino acids of flavoprotein is essential for their functionality. Thus identification of FAD interacting residues in a FBP is an important step for understanding their function and mechanism.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 2 7%
Unknown 25 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 33%
Researcher 7 26%
Student > Postgraduate 2 7%
Student > Master 2 7%
Student > Bachelor 1 4%
Other 2 7%
Unknown 4 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 48%
Biochemistry, Genetics and Molecular Biology 5 19%
Environmental Science 2 7%
Computer Science 1 4%
Sports and Recreations 1 4%
Other 1 4%
Unknown 4 15%
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 10 October 2010.
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
#48,559
of 164,240 outputs
Outputs of similar age from BMC Bioinformatics
#17
of 58 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 164,240 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 58 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.