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Computational identification of multi-omic correlates of anticancer therapeutic response

Overview of attention for article published in BMC Genomics, October 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

twitter
2 X users
peer_reviews
1 peer review site
weibo
2 weibo users

Citations

dimensions_citation
33 Dimensions

Readers on

mendeley
88 Mendeley
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Title
Computational identification of multi-omic correlates of anticancer therapeutic response
Published in
BMC Genomics, October 2014
DOI 10.1186/1471-2164-15-s7-s2
Pubmed ID
Authors

Lindsay C Stetson, Taylor Pearl, Yanwen Chen, Jill S Barnholtz-Sloan

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

Geographical breakdown

Country Count As %
Unknown 88 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 25%
Student > Master 11 13%
Researcher 9 10%
Student > Doctoral Student 8 9%
Student > Bachelor 6 7%
Other 14 16%
Unknown 18 20%
Readers by discipline Count As %
Computer Science 16 18%
Biochemistry, Genetics and Molecular Biology 11 13%
Medicine and Dentistry 11 13%
Agricultural and Biological Sciences 10 11%
Engineering 6 7%
Other 12 14%
Unknown 22 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 January 2016.
All research outputs
#7,136,697
of 22,768,097 outputs
Outputs from BMC Genomics
#3,377
of 10,639 outputs
Outputs of similar age
#80,503
of 260,282 outputs
Outputs of similar age from BMC Genomics
#65
of 217 outputs
Altmetric has tracked 22,768,097 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 10,639 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 67% 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 260,282 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 217 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 70% of its contemporaries.