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Ras Conformational Switching: Simulating Nucleotide-Dependent Conformational Transitions with Accelerated Molecular Dynamics

Overview of attention for article published in PLoS Computational Biology, March 2009
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user
q&a
1 Q&A thread

Citations

dimensions_citation
157 Dimensions

Readers on

mendeley
165 Mendeley
citeulike
10 CiteULike
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Title
Ras Conformational Switching: Simulating Nucleotide-Dependent Conformational Transitions with Accelerated Molecular Dynamics
Published in
PLoS Computational Biology, March 2009
DOI 10.1371/journal.pcbi.1000325
Pubmed ID
Authors

Barry J. Grant, Alemayehu A. Gorfe, J. Andrew McCammon

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 165 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 3%
Germany 3 2%
United Kingdom 2 1%
Australia 1 <1%
Norway 1 <1%
Argentina 1 <1%
Italy 1 <1%
Unknown 151 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 47 28%
Student > Ph. D. Student 42 25%
Professor > Associate Professor 11 7%
Student > Master 10 6%
Professor 10 6%
Other 33 20%
Unknown 12 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 53 32%
Chemistry 31 19%
Biochemistry, Genetics and Molecular Biology 28 17%
Physics and Astronomy 11 7%
Pharmacology, Toxicology and Pharmaceutical Science 5 3%
Other 17 10%
Unknown 20 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 22 May 2018.
All research outputs
#7,960,052
of 25,373,627 outputs
Outputs from PLoS Computational Biology
#5,295
of 8,960 outputs
Outputs of similar age
#36,123
of 107,942 outputs
Outputs of similar age from PLoS Computational Biology
#25
of 51 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 8,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 39th percentile – i.e., 39% 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 107,942 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.