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Cell- and biomarker-based assays for predicting nephrotoxicity

Overview of attention for article published in Expert Opinion on Drug Metabolism & Toxicology, November 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

patent
6 patents
f1000
1 research highlight platform

Citations

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45 Dimensions

Readers on

mendeley
64 Mendeley
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Title
Cell- and biomarker-based assays for predicting nephrotoxicity
Published in
Expert Opinion on Drug Metabolism & Toxicology, November 2014
DOI 10.1517/17425255.2014.967681
Pubmed ID
Authors

Johnny X Huang, Mark A Blaskovich, Matthew A Cooper

Abstract

Drug-induced nephrotoxicity contributes to the failure rate of investigational drugs during clinical trials. We are still not able to accurately predict drug-induced nephrotoxicity during early drug discovery and development. There is an urgent need for a robust screening system that can identify nephrotoxic compounds before they reach the clinic.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 2%
Unknown 63 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 17%
Student > Bachelor 9 14%
Student > Master 7 11%
Student > Ph. D. Student 6 9%
Other 5 8%
Other 11 17%
Unknown 15 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 17%
Medicine and Dentistry 10 16%
Biochemistry, Genetics and Molecular Biology 9 14%
Pharmacology, Toxicology and Pharmaceutical Science 6 9%
Engineering 3 5%
Other 8 13%
Unknown 17 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 October 2022.
All research outputs
#4,356,828
of 23,575,346 outputs
Outputs from Expert Opinion on Drug Metabolism & Toxicology
#110
of 895 outputs
Outputs of similar age
#49,487
of 261,603 outputs
Outputs of similar age from Expert Opinion on Drug Metabolism & Toxicology
#8
of 31 outputs
Altmetric has tracked 23,575,346 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 895 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 85% 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 261,603 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 79% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.