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In Silico Models for Drug Discovery

Overview of attention for book
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#12 of 13,353)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
28 news outlets
blogs
3 blogs
twitter
3 X users
peer_reviews
1 peer review site

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
144 Mendeley
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Title
In Silico Models for Drug Discovery
Published by
Methods in molecular biology, January 2013
DOI 10.1007/978-1-62703-342-8
ISBNs
978-1-62703-341-1, 978-1-62703-342-8
Authors

Markus Lill, Kortagere, Sandhya

Editors

Sandhya Kortagere

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 3 2%
United States 2 1%
India 2 1%
Germany 1 <1%
Indonesia 1 <1%
Portugal 1 <1%
United Kingdom 1 <1%
Iran, Islamic Republic of 1 <1%
Colombia 1 <1%
Other 4 3%
Unknown 127 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 22%
Student > Master 29 20%
Researcher 24 17%
Student > Bachelor 18 13%
Student > Doctoral Student 8 6%
Other 21 15%
Unknown 13 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 26%
Chemistry 31 22%
Biochemistry, Genetics and Molecular Biology 20 14%
Pharmacology, Toxicology and Pharmaceutical Science 15 10%
Computer Science 5 3%
Other 17 12%
Unknown 19 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 241. 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 12 March 2022.
All research outputs
#136,779
of 23,567,572 outputs
Outputs from Methods in molecular biology
#12
of 13,353 outputs
Outputs of similar age
#873
of 284,632 outputs
Outputs of similar age from Methods in molecular biology
#1
of 330 outputs
Altmetric has tracked 23,567,572 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,353 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 99% 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 284,632 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 330 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 99% of its contemporaries.