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Computational study of the motor neuron protein KIF5A to identify nsSNPs, bioactive compounds, and its key regulators

Overview of attention for article published in Frontiers in Genetics, November 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
3 X users

Readers on

mendeley
7 Mendeley
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Title
Computational study of the motor neuron protein KIF5A to identify nsSNPs, bioactive compounds, and its key regulators
Published in
Frontiers in Genetics, November 2023
DOI 10.3389/fgene.2023.1282234
Pubmed ID
Authors

Rupesh Kumar, Thirumurthy Madhavan, Kalaiarasan Ponnusamy, Honglae Sohn, Shazia Haider

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

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 29%
Student > Bachelor 1 14%
Student > Ph. D. Student 1 14%
Unknown 3 43%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 29%
Computer Science 1 14%
Medicine and Dentistry 1 14%
Unknown 3 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 11 November 2023.
All research outputs
#15,660,220
of 24,805,946 outputs
Outputs from Frontiers in Genetics
#4,339
of 13,359 outputs
Outputs of similar age
#83,261
of 185,875 outputs
Outputs of similar age from Frontiers in Genetics
#21
of 149 outputs
Altmetric has tracked 24,805,946 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,359 research outputs from this source. They receive a mean Attention Score of 3.8. This one has gotten more attention than average, scoring higher than 63% 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 185,875 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 52% of its contemporaries.
We're also able to compare this research output to 149 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.