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In Silico Methods for Predicting Drug Toxicity

Overview of attention for book
In Silico Methods for Predicting Drug Toxicity
Springer US
Attention for Chapter: Emerging Bioinformatics Methods and Resources in Drug Toxicology
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (59th percentile)

Mentioned by

twitter
4 tweeters

Readers on

mendeley
1 Mendeley
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Chapter title
Emerging Bioinformatics Methods and Resources in Drug Toxicology
Book title
In Silico Methods for Predicting Drug Toxicity
Published in
Methods in molecular biology, January 2022
DOI 10.1007/978-1-0716-1960-5_6
Pubmed ID
Book ISBNs
978-1-07-161959-9, 978-1-07-161960-5
Authors

Audouze, Karine, Taboureau, Olivier, Karine Audouze, Olivier Taboureau

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 100%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 1 100%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 25 February 2022.
All research outputs
#11,982,367
of 21,287,234 outputs
Outputs from Methods in molecular biology
#2,922
of 11,964 outputs
Outputs of similar age
#133,000
of 333,389 outputs
Outputs of similar age from Methods in molecular biology
#1
of 1 outputs
Altmetric has tracked 21,287,234 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,964 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done well, scoring higher than 75% 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 333,389 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 59% of its contemporaries.
We're also able to compare this research output to 1 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