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NETASA: neural network based prediction of solvent accessibility

Overview of attention for article published in Bioinformatics, June 2002
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Mentioned by

patent
1 patent

Citations

dimensions_citation
84 Dimensions

Readers on

mendeley
59 Mendeley
citeulike
1 CiteULike
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Title
NETASA: neural network based prediction of solvent accessibility
Published in
Bioinformatics, June 2002
DOI 10.1093/bioinformatics/18.6.819
Pubmed ID
Authors

Shandar Ahmad, M Michael Gromiha

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 2%
Malaysia 1 2%
Brazil 1 2%
Sweden 1 2%
India 1 2%
Canada 1 2%
Iran, Islamic Republic of 1 2%
Argentina 1 2%
Greece 1 2%
Other 0 0%
Unknown 50 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 27%
Researcher 10 17%
Student > Master 8 14%
Professor > Associate Professor 7 12%
Student > Bachelor 4 7%
Other 11 19%
Unknown 3 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 42%
Computer Science 14 24%
Biochemistry, Genetics and Molecular Biology 7 12%
Chemistry 2 3%
Medicine and Dentistry 2 3%
Other 4 7%
Unknown 5 8%
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 16 January 2018.
All research outputs
#8,535,472
of 25,374,647 outputs
Outputs from Bioinformatics
#6,956
of 12,809 outputs
Outputs of similar age
#42,702
of 126,580 outputs
Outputs of similar age from Bioinformatics
#14
of 33 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,809 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one is in the 34th percentile – i.e., 34% 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 126,580 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.