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Simulation and Machine Learning Methods for Ion-Channel Structure Determination, Mechanistic Studies and Drug Design

Overview of attention for article published in Frontiers in Pharmacology, June 2022
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1 X user

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19 Mendeley
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Title
Simulation and Machine Learning Methods for Ion-Channel Structure Determination, Mechanistic Studies and Drug Design
Published in
Frontiers in Pharmacology, June 2022
DOI 10.3389/fphar.2022.939555
Pubmed ID
Authors

Zhengdan Zhu, Zhenfeng Deng, Qinrui Wang, Yuhang Wang, Duo Zhang, Ruihan Xu, Lvjun Guo, Han Wen

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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 16%
Professor 2 11%
Researcher 2 11%
Unknown 12 63%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 2 11%
Biochemistry, Genetics and Molecular Biology 2 11%
Chemistry 2 11%
Unknown 13 68%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 28 June 2022.
All research outputs
#20,233,547
of 22,759,618 outputs
Outputs from Frontiers in Pharmacology
#9,983
of 16,009 outputs
Outputs of similar age
#349,671
of 437,323 outputs
Outputs of similar age from Frontiers in Pharmacology
#724
of 1,227 outputs
Altmetric has tracked 22,759,618 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 16,009 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 1st percentile – i.e., 1% 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 437,323 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,227 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.