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Feasibility of Ultra-High-Throughput Functional Screening of Melanoma Biopsies for Discovery of Novel Cancer Drug Combinations

Overview of attention for article published in Clinical Cancer Research, August 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

Mentioned by

twitter
12 X users
facebook
1 Facebook page

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
24 Mendeley
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Title
Feasibility of Ultra-High-Throughput Functional Screening of Melanoma Biopsies for Discovery of Novel Cancer Drug Combinations
Published in
Clinical Cancer Research, August 2017
DOI 10.1158/1078-0432.ccr-16-3029
Pubmed ID
Authors

Adam A. Friedman, Yun Xia, Lorenzo Trippa, Long Phi Le, Vivien Igras, Dennie T. Frederick, Jennifer A. Wargo, Kenneth K. Tanabe, Donald P. Lawrence, Donna S. Neuberg, Keith T. Flaherty, David E. Fisher

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 25%
Student > Ph. D. Student 4 17%
Student > Bachelor 3 13%
Other 2 8%
Student > Postgraduate 2 8%
Other 3 13%
Unknown 4 17%
Readers by discipline Count As %
Medicine and Dentistry 7 29%
Biochemistry, Genetics and Molecular Biology 4 17%
Agricultural and Biological Sciences 4 17%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Nursing and Health Professions 1 4%
Other 2 8%
Unknown 5 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 August 2017.
All research outputs
#5,312,402
of 25,837,817 outputs
Outputs from Clinical Cancer Research
#4,631
of 13,309 outputs
Outputs of similar age
#83,429
of 330,013 outputs
Outputs of similar age from Clinical Cancer Research
#105
of 254 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,309 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.8. This one has gotten more attention than average, scoring higher than 65% 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 330,013 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 74% of its contemporaries.
We're also able to compare this research output to 254 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 58% of its contemporaries.