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Leveraging heterogeneous data from GHS toxicity annotations, molecular and protein target descriptors and Tox21 assay readouts to predict and rationalise acute toxicity

Overview of attention for article published in Journal of Cheminformatics, May 2019
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)

Mentioned by

twitter
9 tweeters
facebook
2 Facebook pages
reddit
1 Redditor

Readers on

mendeley
7 Mendeley
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Title
Leveraging heterogeneous data from GHS toxicity annotations, molecular and protein target descriptors and Tox21 assay readouts to predict and rationalise acute toxicity
Published in
Journal of Cheminformatics, May 2019
DOI 10.1186/s13321-019-0356-5
Authors

Chad H. G. Allen, Lewis H. Mervin, Samar Y. Mahmoud, Andreas Bender

Twitter Demographics

The data shown below were collected from the profiles of 9 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 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 %
Student > Ph. D. Student 2 29%
Other 1 14%
Student > Doctoral Student 1 14%
Student > Master 1 14%
Student > Postgraduate 1 14%
Other 0 0%
Unknown 1 14%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 2 29%
Environmental Science 1 14%
Mathematics 1 14%
Chemistry 1 14%
Unknown 2 29%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 04 June 2019.
All research outputs
#4,265,776
of 15,835,365 outputs
Outputs from Journal of Cheminformatics
#355
of 623 outputs
Outputs of similar age
#89,128
of 268,476 outputs
Outputs of similar age from Journal of Cheminformatics
#1
of 1 outputs
Altmetric has tracked 15,835,365 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 623 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
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 268,476 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 66% 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