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Computational Drug Discovery and Design

Overview of attention for book
Computational Drug Discovery and Design
Springer US
Attention for Chapter: Recent Deep Learning Applications to Structure-Based Drug Design
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

twitter
20 X users

Citations

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1 Dimensions

Readers on

mendeley
8 Mendeley
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Chapter title
Recent Deep Learning Applications to Structure-Based Drug Design
Book title
Computational Drug Discovery and Design
Published in
Methods in molecular biology, September 2023
DOI 10.1007/978-1-0716-3441-7_13
Pubmed ID
Book ISBNs
978-1-07-163440-0, 978-1-07-163441-7
Authors

Verburgt, Jacob, Jain, Anika, Kihara, Daisuke, Jacob Verburgt, Anika Jain, Daisuke Kihara

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 20 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 13%
Lecturer 1 13%
Unknown 6 75%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 1 13%
Nursing and Health Professions 1 13%
Unknown 6 75%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 21 September 2023.
All research outputs
#3,916,289
of 26,453,397 outputs
Outputs from Methods in molecular biology
#899
of 14,469 outputs
Outputs of similar age
#63,736
of 363,612 outputs
Outputs of similar age from Methods in molecular biology
#3
of 108 outputs
Altmetric has tracked 26,453,397 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,469 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done particularly well, scoring higher than 93% 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 363,612 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 82% of its contemporaries.
We're also able to compare this research output to 108 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.