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American Association for Cancer Research

Article Metrics

Clinical Validation of a Machine-learning–derived Signature Predictive of Outcomes from First-line Oxaliplatin-based Chemotherapy in Advanced Colorectal Cancer

Overview of attention for article published in Clinical Cancer Research, December 2020
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
21 news outlets
twitter
18 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
20 Mendeley
Title
Clinical Validation of a Machine-learning–derived Signature Predictive of Outcomes from First-line Oxaliplatin-based Chemotherapy in Advanced Colorectal Cancer
Published in
Clinical Cancer Research, December 2020
DOI 10.1158/1078-0432.ccr-20-3286
Pubmed ID
Authors

Jim P. Abraham, Daniel Magee, Chiara Cremolini, Carlotta Antoniotti, David D. Halbert, Joanne Xiu, Phillip Stafford, Donald A. Berry, Matthew J. Oberley, Anthony F. Shields, John L. Marshall, Mohamed E. Salem, Alfredo Falcone, Axel Grothey, Michael J. Hall, Alan P. Venook, Heinz-Josef Lenz, Anthony Helmstetter, W. Michael Korn, David B. Spetzler

Twitter Demographics

The data shown below were collected from the profiles of 18 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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 20%
Researcher 4 20%
Student > Bachelor 2 10%
Student > Doctoral Student 1 5%
Student > Postgraduate 1 5%
Other 0 0%
Unknown 8 40%
Readers by discipline Count As %
Medicine and Dentistry 6 30%
Biochemistry, Genetics and Molecular Biology 2 10%
Agricultural and Biological Sciences 1 5%
Computer Science 1 5%
Unknown 10 50%

Attention Score in Context

This research output has an Altmetric Attention Score of 158. 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 May 2021.
All research outputs
#149,294
of 17,991,759 outputs
Outputs from Clinical Cancer Research
#58
of 11,340 outputs
Outputs of similar age
#6,158
of 418,419 outputs
Outputs of similar age from Clinical Cancer Research
#3
of 217 outputs
Altmetric has tracked 17,991,759 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,340 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one has done particularly well, scoring higher than 99% 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 418,419 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% 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 done particularly well, scoring higher than 99% of its contemporaries.