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Collaborating to improve the use of free-energy and other quantitative methods in drug discovery

Overview of attention for article published in Perspectives in Drug Discovery and Design, December 2016
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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 (88th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

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Citations

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44 Mendeley
Title
Collaborating to improve the use of free-energy and other quantitative methods in drug discovery
Published in
Perspectives in Drug Discovery and Design, December 2016
DOI 10.1007/s10822-016-9996-y
Pubmed ID
Authors

Bradley Sherborne, Veerabahu Shanmugasundaram, Alan C. Cheng, Clara D. Christ, Renee L. DesJarlais, Jose S. Duca, Richard A. Lewis, Deborah A. Loughney, Eric S. Manas, Georgia B. McGaughey, Catherine E. Peishoff, Herman van Vlijmen

Abstract

In May and August, 2016, several pharmaceutical companies convened to discuss and compare experiences with Free Energy Perturbation (FEP). This unusual synchronization of interest was prompted by Schrödinger's FEP+ implementation and offered the opportunity to share fresh studies with FEP and enable broader discussions on the topic. This article summarizes key conclusions of the meetings, including a path forward of actions for this group to aid the accelerated evaluation, application and development of free energy and related quantitative, structure-based design methods.

X Demographics

X Demographics

The data shown below were collected from the profiles of 25 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 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 5%
Unknown 42 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 32%
Student > Ph. D. Student 8 18%
Student > Bachelor 4 9%
Professor 2 5%
Student > Master 2 5%
Other 5 11%
Unknown 9 20%
Readers by discipline Count As %
Chemistry 18 41%
Biochemistry, Genetics and Molecular Biology 3 7%
Engineering 3 7%
Physics and Astronomy 2 5%
Mathematics 1 2%
Other 7 16%
Unknown 10 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 08 March 2019.
All research outputs
#2,491,722
of 25,457,858 outputs
Outputs from Perspectives in Drug Discovery and Design
#60
of 949 outputs
Outputs of similar age
#48,087
of 422,709 outputs
Outputs of similar age from Perspectives in Drug Discovery and Design
#2
of 9 outputs
Altmetric has tracked 25,457,858 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 949 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done particularly well, scoring higher than 93% 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 422,709 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 88% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.