| 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, February 2021
|
| 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 |
X Demographics
The data shown below were collected from the profiles of 18 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | 50% |
| India | 1 | 6% |
| Bolivia, Plurinational State of | 1 | 6% |
| Unknown | 7 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 83% |
| Scientists | 2 | 11% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 56 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 20% |
| Student > Ph. D. Student | 8 | 14% |
| Student > Bachelor | 4 | 7% |
| Student > Postgraduate | 3 | 5% |
| Other | 2 | 4% |
| Other | 7 | 13% |
| Unknown | 21 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 25% |
| Computer Science | 5 | 9% |
| Biochemistry, Genetics and Molecular Biology | 4 | 7% |
| Agricultural and Biological Sciences | 3 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 5% |
| Other | 3 | 5% |
| Unknown | 24 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 160. 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
#225,878
of 23,577,654 outputs
Outputs from Clinical Cancer Research
#98
of 12,778 outputs
Outputs of similar age
#7,929
of 550,341 outputs
Outputs of similar age from Clinical Cancer Research
#4
of 376 outputs
Altmetric has tracked 23,577,654 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 12,778 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. 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 550,341 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 376 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 98% of its contemporaries.