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Artificial neural network models driven novel virtual screening workflow for the identification and biological evaluation of BACE1 inhibitors

Overview of attention for article published in Quantitative Structure-Activity Relationships, February 2023
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
5 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Artificial neural network models driven novel virtual screening workflow for the identification and biological evaluation of BACE1 inhibitors
Published in
Quantitative Structure-Activity Relationships, February 2023
DOI 10.1002/minf.202200113
Pubmed ID
Authors

Kushagra Kashyap, Lalita Panigrahi, Shakil Ahmed, Mohammad Imran Siddiqi

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 20%
Student > Ph. D. Student 1 20%
Researcher 1 20%
Unknown 2 40%
Readers by discipline Count As %
Unspecified 1 20%
Computer Science 1 20%
Neuroscience 1 20%
Unknown 2 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 09 December 2022.
All research outputs
#5,039,521
of 26,180,771 outputs
Outputs from Quantitative Structure-Activity Relationships
#104
of 641 outputs
Outputs of similar age
#102,411
of 484,635 outputs
Outputs of similar age from Quantitative Structure-Activity Relationships
#1
of 7 outputs
Altmetric has tracked 26,180,771 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 641 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 82% 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 484,635 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them