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A systematic analysis of genomics-based modeling approaches for prediction of drug response to cytotoxic chemotherapies

Overview of attention for article published in BMC Medical Genomics, June 2019
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2 X users

Citations

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Readers on

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41 Mendeley
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Title
A systematic analysis of genomics-based modeling approaches for prediction of drug response to cytotoxic chemotherapies
Published in
BMC Medical Genomics, June 2019
DOI 10.1186/s12920-019-0519-2
Pubmed ID
Authors

Joshua D. Mannheimer, Dawn L. Duval, Ashok Prasad, Daniel L. Gustafson

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 17%
Student > Bachelor 4 10%
Student > Ph. D. Student 3 7%
Professor 3 7%
Student > Doctoral Student 3 7%
Other 7 17%
Unknown 14 34%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 5 12%
Medicine and Dentistry 4 10%
Biochemistry, Genetics and Molecular Biology 3 7%
Mathematics 2 5%
Computer Science 2 5%
Other 6 15%
Unknown 19 46%
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 20 June 2019.
All research outputs
#21,275,730
of 25,998,826 outputs
Outputs from BMC Medical Genomics
#1,744
of 2,488 outputs
Outputs of similar age
#284,343
of 371,048 outputs
Outputs of similar age from BMC Medical Genomics
#53
of 83 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,488 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 16th percentile – i.e., 16% 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 371,048 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 83 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.