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Allosteric Regulation at the Crossroads of New Technologies: Multiscale Modeling, Networks, and Machine Learning

Overview of attention for article published in Frontiers in Molecular Biosciences, July 2020
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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3 X users

Citations

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50 Dimensions

Readers on

mendeley
120 Mendeley
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Title
Allosteric Regulation at the Crossroads of New Technologies: Multiscale Modeling, Networks, and Machine Learning
Published in
Frontiers in Molecular Biosciences, July 2020
DOI 10.3389/fmolb.2020.00136
Pubmed ID
Authors

Gennady M. Verkhivker, Steve Agajanian, Guang Hu, Peng Tao

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 120 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 14%
Student > Master 16 13%
Researcher 15 13%
Student > Bachelor 11 9%
Other 9 8%
Other 20 17%
Unknown 32 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 24 20%
Chemistry 19 16%
Computer Science 8 7%
Pharmacology, Toxicology and Pharmaceutical Science 6 5%
Engineering 5 4%
Other 22 18%
Unknown 36 30%
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 10 July 2020.
All research outputs
#18,070,399
of 23,220,133 outputs
Outputs from Frontiers in Molecular Biosciences
#1,736
of 3,970 outputs
Outputs of similar age
#283,223
of 396,722 outputs
Outputs of similar age from Frontiers in Molecular Biosciences
#53
of 109 outputs
Altmetric has tracked 23,220,133 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,970 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 48th percentile – i.e., 48% 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 396,722 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 109 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.