↓ Skip to main content

ASAView: Database and tool for solvent accessibility representation in proteins

Overview of attention for article published in BMC Bioinformatics, May 2004
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)

Mentioned by

patent
3 patents
q&a
1 Q&A thread

Citations

dimensions_citation
248 Dimensions

Readers on

mendeley
143 Mendeley
citeulike
2 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
ASAView: Database and tool for solvent accessibility representation in proteins
Published in
BMC Bioinformatics, May 2004
DOI 10.1186/1471-2105-5-51
Pubmed ID
Authors

Shandar Ahmad, Michael Gromiha, Hamed Fawareh, Akinori Sarai

Abstract

Accessible surface area (ASA) or solvent accessibility of amino acids in a protein has important implications. Knowledge of surface residues helps in locating potential candidates of active sites. Therefore, a method to quickly see the surface residues in a two dimensional model would help to immediately understand the population of amino acid residues on the surface and in the inner core of the proteins.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Argentina 2 1%
United Kingdom 2 1%
Malaysia 1 <1%
Ireland 1 <1%
Czechia 1 <1%
Denmark 1 <1%
United States 1 <1%
Unknown 134 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 44 31%
Researcher 29 20%
Student > Master 17 12%
Student > Bachelor 10 7%
Student > Doctoral Student 6 4%
Other 20 14%
Unknown 17 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 62 43%
Biochemistry, Genetics and Molecular Biology 28 20%
Chemistry 9 6%
Physics and Astronomy 5 3%
Engineering 5 3%
Other 13 9%
Unknown 21 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 14 June 2023.
All research outputs
#4,158,421
of 25,287,709 outputs
Outputs from BMC Bioinformatics
#1,410
of 7,672 outputs
Outputs of similar age
#8,795
of 63,288 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 1 outputs
Altmetric has tracked 25,287,709 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,672 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 81% 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 63,288 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them