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Complex macrocycle exploration: parallel, heuristic, and constraint-based conformer generation using ForceGen

Overview of attention for article published in Perspectives in Drug Discovery and Design, May 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

twitter
7 X users
patent
2 patents

Citations

dimensions_citation
32 Dimensions

Readers on

mendeley
36 Mendeley
Title
Complex macrocycle exploration: parallel, heuristic, and constraint-based conformer generation using ForceGen
Published in
Perspectives in Drug Discovery and Design, May 2019
DOI 10.1007/s10822-019-00203-1
Pubmed ID
Authors

Ajay N. Jain, Ann E. Cleves, Qi Gao, Xiao Wang, Yizhou Liu, Edward C. Sherer, Mikhail Y. Reibarkh

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 31%
Student > Ph. D. Student 6 17%
Other 4 11%
Student > Doctoral Student 2 6%
Student > Postgraduate 2 6%
Other 6 17%
Unknown 5 14%
Readers by discipline Count As %
Chemistry 16 44%
Agricultural and Biological Sciences 3 8%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Biochemistry, Genetics and Molecular Biology 2 6%
Linguistics 1 3%
Other 5 14%
Unknown 7 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 18 November 2021.
All research outputs
#4,728,250
of 25,462,162 outputs
Outputs from Perspectives in Drug Discovery and Design
#211
of 949 outputs
Outputs of similar age
#90,177
of 363,234 outputs
Outputs of similar age from Perspectives in Drug Discovery and Design
#2
of 9 outputs
Altmetric has tracked 25,462,162 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% 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 well, scoring higher than 77% 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 363,234 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 75% 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.