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X Demographics
Mendeley readers
Attention Score in Context
Title |
K-core decomposition of a protein domain co-occurrence network reveals lower cancer mutation rates for interior cores
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Published in |
Journal of Clinical Bioinformatics, March 2015
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DOI | 10.1186/s13336-015-0016-6 |
Pubmed ID | |
Authors |
Arnold I Emerson, Simeon Andrews, Ikhlak Ahmed, Thasni KA Azis, Joel A Malek |
Abstract |
Network biology currently focuses primarily on metabolic pathways, gene regulatory, and protein-protein interaction networks. While these approaches have yielded critical information, alternative methods to network analysis will offer new perspectives on biological information. A little explored area is the interactions between domains that can be captured using domain co-occurrence networks (DCN). A DCN can be used to study the function and interaction of proteins by representing protein domains and their co-existence in genes and by mapping cancer mutations to the individual protein domains to identify signals. |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 43% |
United Kingdom | 1 | 14% |
Unknown | 3 | 43% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 71% |
Scientists | 2 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 32 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 9 | 28% |
Student > Ph. D. Student | 7 | 22% |
Student > Postgraduate | 3 | 9% |
Student > Bachelor | 2 | 6% |
Student > Master | 2 | 6% |
Other | 5 | 16% |
Unknown | 4 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 9 | 28% |
Agricultural and Biological Sciences | 8 | 25% |
Computer Science | 4 | 13% |
Social Sciences | 2 | 6% |
Physics and Astronomy | 2 | 6% |
Other | 3 | 9% |
Unknown | 4 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 25 March 2015.
All research outputs
#7,959,162
of 25,371,288 outputs
Outputs from Journal of Clinical Bioinformatics
#16
of 61 outputs
Outputs of similar age
#85,607
of 271,795 outputs
Outputs of similar age from Journal of Clinical Bioinformatics
#2
of 4 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 61 research outputs from this source. They receive a mean Attention Score of 3.1. This one has gotten more attention than average, scoring higher than 72% 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 271,795 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.