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Mendeley readers
Attention Score in Context
Title |
A graph-theoretic approach for classification and structure prediction of transmembrane β-barrel proteins
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Published in |
BMC Genomics, April 2012
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DOI | 10.1186/1471-2164-13-s2-s5 |
Pubmed ID | |
Authors |
Van Du T Tran, Philippe Chassignet, Saad Sheikh, Jean-Marc Steyaert |
Abstract |
Transmembrane β-barrel proteins are a special class of transmembrane proteins which play several key roles in human body and diseases. Due to experimental difficulties, the number of transmembrane β-barrel proteins with known structures is very small. Over the years, a number of learning-based methods have been introduced for recognition and structure prediction of transmembrane β-barrel proteins. Most of these methods emphasize on homology search rather than any biological or chemical basis. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Australia | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | 7% |
Romania | 1 | 7% |
Switzerland | 1 | 7% |
Unknown | 11 | 79% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 29% |
Researcher | 4 | 29% |
Student > Postgraduate | 1 | 7% |
Student > Doctoral Student | 1 | 7% |
Unknown | 4 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 3 | 21% |
Computer Science | 3 | 21% |
Agricultural and Biological Sciences | 2 | 14% |
Psychology | 1 | 7% |
Medicine and Dentistry | 1 | 7% |
Other | 1 | 7% |
Unknown | 3 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 29 April 2012.
All research outputs
#20,657,128
of 25,374,917 outputs
Outputs from BMC Genomics
#8,709
of 11,244 outputs
Outputs of similar age
#135,784
of 174,045 outputs
Outputs of similar age from BMC Genomics
#65
of 92 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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We're also able to compare this research output to 92 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.