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Predicting drug response of tumors from integrated genomic profiles by deep neural networks

Overview of attention for article published in BMC Medical Genomics, January 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
96 Dimensions

Readers on

mendeley
197 Mendeley
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Title
Predicting drug response of tumors from integrated genomic profiles by deep neural networks
Published in
BMC Medical Genomics, January 2019
DOI 10.1186/s12920-018-0460-9
Pubmed ID
Authors

Yu-Chiao Chiu, Hung-I Harry Chen, Tinghe Zhang, Songyao Zhang, Aparna Gorthi, Li-Ju Wang, Yufei Huang, Yidong Chen

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 197 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 197 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 36 18%
Researcher 31 16%
Student > Master 24 12%
Student > Bachelor 22 11%
Student > Doctoral Student 16 8%
Other 18 9%
Unknown 50 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 44 22%
Computer Science 37 19%
Agricultural and Biological Sciences 15 8%
Medicine and Dentistry 15 8%
Engineering 6 3%
Other 25 13%
Unknown 55 28%

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 07 February 2019.
All research outputs
#10,828,029
of 14,257,572 outputs
Outputs from BMC Medical Genomics
#524
of 751 outputs
Outputs of similar age
#218,182
of 322,138 outputs
Outputs of similar age from BMC Medical Genomics
#8
of 24 outputs
Altmetric has tracked 14,257,572 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 751 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 25th percentile – i.e., 25% 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 322,138 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 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 62% of its contemporaries.