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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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Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
34 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

Twitter Demographics

The data shown below were collected from the profiles of 2 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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 18%
Professor 3 9%
Student > Bachelor 3 9%
Student > Doctoral Student 3 9%
Student > Ph. D. Student 3 9%
Other 6 18%
Unknown 10 29%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 5 15%
Biochemistry, Genetics and Molecular Biology 3 9%
Medicine and Dentistry 3 9%
Mathematics 2 6%
Computer Science 2 6%
Other 6 18%
Unknown 13 38%

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
#12,155,620
of 15,289,603 outputs
Outputs from BMC Medical Genomics
#598
of 797 outputs
Outputs of similar age
#190,109
of 262,338 outputs
Outputs of similar age from BMC Medical Genomics
#11
of 12 outputs
Altmetric has tracked 15,289,603 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 797 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 14th percentile – i.e., 14% 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 262,338 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 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.