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Developments in toxicogenomics: understanding and predicting compound-induced toxicity from gene expression data

Overview of attention for article published in Molecular BioSystems, January 2018
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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 (86th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

blogs
1 blog
twitter
4 X users
patent
2 patents

Citations

dimensions_citation
93 Dimensions

Readers on

mendeley
153 Mendeley
citeulike
1 CiteULike
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Title
Developments in toxicogenomics: understanding and predicting compound-induced toxicity from gene expression data
Published in
Molecular BioSystems, January 2018
DOI 10.1039/c8mo00042e
Pubmed ID
Authors

Benjamin Alexander-Dann, Lavinia Lorena Pruteanu, Erin Oerton, Nitin Sharma, Ioana Berindan-Neagoe, Dezső Módos, Andreas Bender

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 153 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 153 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 20%
Researcher 31 20%
Student > Master 19 12%
Student > Bachelor 11 7%
Student > Doctoral Student 9 6%
Other 17 11%
Unknown 35 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 21 14%
Agricultural and Biological Sciences 17 11%
Pharmacology, Toxicology and Pharmaceutical Science 14 9%
Computer Science 10 7%
Chemistry 10 7%
Other 36 24%
Unknown 45 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 27 May 2021.
All research outputs
#2,905,502
of 25,756,911 outputs
Outputs from Molecular BioSystems
#63
of 1,773 outputs
Outputs of similar age
#62,427
of 452,073 outputs
Outputs of similar age from Molecular BioSystems
#4
of 32 outputs
Altmetric has tracked 25,756,911 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,773 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 96% 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 452,073 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 86% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.