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Hybrid Dynamic Pharmacophore Models as Effective Tools to Identify Novel Chemotypes for Anti-TB Inhibitor Design: A Case Study With Mtb-DapB

Overview of attention for article published in Frontiers in Chemistry, December 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

twitter
5 X users

Citations

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4 Dimensions

Readers on

mendeley
21 Mendeley
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Title
Hybrid Dynamic Pharmacophore Models as Effective Tools to Identify Novel Chemotypes for Anti-TB Inhibitor Design: A Case Study With Mtb-DapB
Published in
Frontiers in Chemistry, December 2020
DOI 10.3389/fchem.2020.596412
Pubmed ID
Authors

Chinmayee Choudhury, Anshu Bhardwaj

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 29%
Student > Master 3 14%
Student > Ph. D. Student 3 14%
Professor > Associate Professor 1 5%
Student > Postgraduate 1 5%
Other 0 0%
Unknown 7 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 19%
Chemistry 3 14%
Medicine and Dentistry 2 10%
Immunology and Microbiology 1 5%
Nursing and Health Professions 1 5%
Other 2 10%
Unknown 8 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 21 January 2021.
All research outputs
#14,557,635
of 25,016,456 outputs
Outputs from Frontiers in Chemistry
#887
of 6,640 outputs
Outputs of similar age
#247,479
of 522,343 outputs
Outputs of similar age from Frontiers in Chemistry
#62
of 351 outputs
Altmetric has tracked 25,016,456 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,640 research outputs from this source. They receive a mean Attention Score of 2.2. This one has done well, scoring higher than 86% 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 522,343 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 51% of its contemporaries.
We're also able to compare this research output to 351 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.