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GPU-Accelerated Molecular Dynamics and Free Energy Methods in Amber18: Performance Enhancements and New Features

Overview of attention for article published in Journal of Chemical Information and Modeling, September 2018
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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 (93rd percentile)

Mentioned by

blogs
2 blogs
twitter
15 X users

Readers on

mendeley
269 Mendeley
citeulike
1 CiteULike
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Article details
Title
GPU-Accelerated Molecular Dynamics and Free Energy Methods in Amber18: Performance Enhancements and New Features
Published in
Journal of Chemical Information and Modeling, September 2018
DOI 10.1021/acs.jcim.8b00462
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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X Demographics

X Demographics

The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 269 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 269 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 55 20%
Student > Ph. D. Student 49 18%
Student > Master 18 7%
Professor > Associate Professor 12 4%
Student > Doctoral Student 11 4%
Other 41 15%
Unknown 83 31%
Readers by discipline
Readers by discipline Count As %
Chemistry 84 31%
Biochemistry, Genetics and Molecular Biology 32 12%
Pharmacology, Toxicology and Pharmaceutical Science 16 6%
Agricultural and Biological Sciences 10 4%
Physics and Astronomy 8 3%
Other 30 11%
Unknown 89 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 30 August 2023.
All research outputs
#2,034,542
of 28,649,717 outputs
Outputs from Journal of Chemical Information and Modeling
#335
of 6,814 outputs
Outputs of similar age
#36,572
of 353,651 outputs
Outputs of similar age from Journal of Chemical Information and Modeling
#5
of 72 outputs
Altmetric has tracked 28,649,717 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 6,814 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. This one has done particularly well, scoring higher than 95% 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 353,651 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 72 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.