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Computational Prediction of Hot Spots and Binding Site of Inhibitor NSC23766 on Rac1 Binding With Tiam1

Overview of attention for article published in Frontiers in Chemistry, February 2021
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1 X user

Citations

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8 Dimensions

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9 Mendeley
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Title
Computational Prediction of Hot Spots and Binding Site of Inhibitor NSC23766 on Rac1 Binding With Tiam1
Published in
Frontiers in Chemistry, February 2021
DOI 10.3389/fchem.2020.625437
Pubmed ID
Authors

Chunwen Zheng, Xiaodong Wu, Ruijie Zeng, Lirui Lin, Liyan Xu, Enmin Li, Geng Dong

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

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 33%
Student > Bachelor 2 22%
Professor > Associate Professor 1 11%
Student > Master 1 11%
Unknown 2 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 56%
Immunology and Microbiology 1 11%
Engineering 1 11%
Unknown 2 22%
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 20 February 2021.
All research outputs
#20,681,684
of 23,277,141 outputs
Outputs from Frontiers in Chemistry
#2,976
of 6,098 outputs
Outputs of similar age
#433,040
of 505,737 outputs
Outputs of similar age from Frontiers in Chemistry
#110
of 211 outputs
Altmetric has tracked 23,277,141 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 6,098 research outputs from this source. They receive a mean Attention Score of 2.1. 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 505,737 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 211 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.