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Quantification of protein group coherence and pathway assignment using functional association

Overview of attention for article published in BMC Bioinformatics, September 2011
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4 X users

Citations

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9 Dimensions

Readers on

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23 Mendeley
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3 CiteULike
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Title
Quantification of protein group coherence and pathway assignment using functional association
Published in
BMC Bioinformatics, September 2011
DOI 10.1186/1471-2105-12-373
Pubmed ID
Authors

Meghana Chitale, Shriphani Palakodety, Daisuke Kihara

Abstract

Genomics and proteomics experiments produce a large amount of data that are awaiting functional elucidation. An important step in analyzing such data is to identify functional units, which consist of proteins that play coherent roles to carry out the function. Importantly, functional coherence is not identical with functional similarity. For example, proteins in the same pathway may not share the same Gene Ontology (GO) terms, but they work in a coordinated fashion so that the aimed function can be performed. Thus, simply applying existing functional similarity measures might not be the best solution to identify functional units in omics data.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 4%
France 1 4%
Brazil 1 4%
Unknown 20 87%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 22%
Researcher 5 22%
Student > Ph. D. Student 5 22%
Student > Postgraduate 2 9%
Professor 2 9%
Other 1 4%
Unknown 3 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 43%
Computer Science 7 30%
Mathematics 1 4%
Unspecified 1 4%
Engineering 1 4%
Other 0 0%
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 05 October 2011.
All research outputs
#13,231,731
of 23,318,744 outputs
Outputs from BMC Bioinformatics
#3,862
of 7,384 outputs
Outputs of similar age
#81,398
of 131,856 outputs
Outputs of similar age from BMC Bioinformatics
#49
of 88 outputs
Altmetric has tracked 23,318,744 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,384 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 45th percentile – i.e., 45% 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 131,856 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 88 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.