↓ Skip to main content

Impact of genetic variation on three dimensional structure and function of proteins

Overview of attention for article published in PLOS ONE, March 2017
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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

twitter
24 X users
patent
408 patents
googleplus
1 Google+ user
reddit
1 Redditor
f1000
1 research highlight platform

Readers on

mendeley
156 Mendeley
citeulike
1 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.
Article details
Title
Impact of genetic variation on three dimensional structure and function of proteins
Published in
PLOS ONE, March 2017
DOI 10.1371/journal.pone.0171355
Pubmed ID
Authors
Abstract

The Protein Data Bank (PDB; http://wwpdb.org) was established in 1971 as the first open access digital data resource in biology with seven protein structures as its initial holdings. The global PDB archive now contains more than 126,000 experimentally determined atomic level three-dimensional (3D) structures of biological macromolecules (proteins, DNA, RNA), all of which are freely accessible via the Internet. Knowledge of the 3D structure of the gene product can help in understanding its function and role in disease. Of particular interest in the PDB archive are proteins for which 3D structures of genetic variant proteins have been determined, thus revealing atomic-level structural differences caused by the variation at the DNA level. Herein, we present a systematic and qualitative analysis of such cases. We observe a wide range of structural and functional changes caused by single amino acid differences, including changes in enzyme activity, aggregation propensity, structural stability, binding, and dissociation, some in the context of large assemblies. Structural comparison of wild type and mutated proteins, when both are available, provide insights into atomic-level structural differences caused by the genetic variation.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profiles of 24 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 156 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Korea, Republic of 1 <1%
Germany 1 <1%
Unknown 154 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 21 13%
Student > Master 21 13%
Student > Ph. D. Student 20 13%
Researcher 13 8%
Student > Postgraduate 11 7%
Other 20 13%
Unknown 50 32%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 43 28%
Agricultural and Biological Sciences 34 22%
Medicine and Dentistry 7 4%
Pharmacology, Toxicology and Pharmaceutical Science 5 3%
Computer Science 5 3%
Other 14 9%
Unknown 48 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 11 August 2026.
All research outputs
#2,376,070
of 33,035,297 outputs
Outputs from PLOS ONE
#25,802
of 219,015 outputs
Outputs of similar age
#34,880
of 341,851 outputs
Outputs of similar age from PLOS ONE
#562
of 4,815 outputs
Altmetric has tracked 33,035,297 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 219,015 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.1. This one has done well, scoring higher than 88% 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 341,851 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 89% of its contemporaries.
We're also able to compare this research output to 4,815 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.