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Structural updates of alignment of protein domains and consequences on evolutionary models of domain superfamilies

Overview of attention for article published in BioData Mining, November 2013
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1 tweeter

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Title
Structural updates of alignment of protein domains and consequences on evolutionary models of domain superfamilies
Published in
BioData Mining, November 2013
DOI 10.1186/1756-0381-6-20
Pubmed ID
Authors

Eshita Mutt, Sudha Sane Rani, Ramanathan Sowdhamini

Abstract

Influx of newly determined crystal structures into primary structural databases is increasing at a rapid pace. This leads to updation of primary and their dependent secondary databases which makes large scale analysis of structures even more challenging. Hence, it becomes essential to compare and appreciate replacement of data and inclusion of new data that is critical between two updates. PASS2 is a database that retains structure-based sequence alignments of protein domain superfamilies and relies on SCOP database for its hierarchy and definition of superfamily members. Since, accurate alignments of distantly related proteins are useful evolutionary models for depicting variations within protein superfamilies, this study aims to trace the changes in data in between PASS2 updates.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 50%
Student > Ph. D. Student 1 17%
Student > Postgraduate 1 17%
Unknown 1 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 50%
Agricultural and Biological Sciences 1 17%
Chemistry 1 17%
Unknown 1 17%

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 16 November 2013.
All research outputs
#3,066,945
of 4,507,509 outputs
Outputs from BioData Mining
#96
of 114 outputs
Outputs of similar age
#61,509
of 91,722 outputs
Outputs of similar age from BioData Mining
#8
of 9 outputs
Altmetric has tracked 4,507,509 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 114 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 7th percentile – i.e., 7% of its peers scored the same or lower than it.
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