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An in silico design of bioavailability for kinase inhibitors evaluating the mechanistic rationale in the CYP metabolism of erlotinib

Overview of attention for article published in Journal of Molecular Modeling, February 2019
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Mentioned by

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1 X user

Citations

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Readers on

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18 Mendeley
Title
An in silico design of bioavailability for kinase inhibitors evaluating the mechanistic rationale in the CYP metabolism of erlotinib
Published in
Journal of Molecular Modeling, February 2019
DOI 10.1007/s00894-018-3917-z
Pubmed ID
Authors

Sai Manohar Chelli, Parth Gupta, Siva Kumar Belliraj

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 39%
Student > Ph. D. Student 3 17%
Student > Doctoral Student 1 6%
Other 1 6%
Lecturer 1 6%
Other 1 6%
Unknown 4 22%
Readers by discipline Count As %
Chemistry 6 33%
Pharmacology, Toxicology and Pharmaceutical Science 2 11%
Medicine and Dentistry 2 11%
Agricultural and Biological Sciences 1 6%
Biochemistry, Genetics and Molecular Biology 1 6%
Other 1 6%
Unknown 5 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 15 February 2019.
All research outputs
#20,554,592
of 23,128,387 outputs
Outputs from Journal of Molecular Modeling
#642
of 827 outputs
Outputs of similar age
#378,994
of 448,093 outputs
Outputs of similar age from Journal of Molecular Modeling
#13
of 18 outputs
Altmetric has tracked 23,128,387 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 827 research outputs from this source. They receive a mean Attention Score of 2.7. This one is in the 1st percentile – i.e., 1% 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 448,093 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.