Title |
Prediction of Immunotherapy Response in Melanoma through Combined Modeling of Neoantigen Burden and Immune-Related Resistance MechanismsIntegrated Neoantigen and APM Data Predict Therapy Response
|
---|---|
Published in |
Clinical Cancer Research, August 2021
|
DOI | 10.1158/1078-0432.ccr-20-4314 |
Pubmed ID | |
Authors |
Charles W. Abbott, Sean M. Boyle, Rachel Marty Pyke, Lee D. McDaniel, Eric Levy, Fábio C.P. Navarro, Dattatreya Mellacheruvu, Simo V. Zhang, Mengyao Tan, Rose Santiago, Zeid M. Rusan, Pamela Milani, Gabor Bartha, Jason Harris, Rena McClory, Michael P. Snyder, Sekwon Jang, Richard Chen |
X Demographics
The data shown below were collected from the profiles of 16 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 | 6 | 38% |
Unknown | 10 | 63% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 10 | 63% |
Scientists | 5 | 31% |
Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 51 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 7 | 14% |
Student > Bachelor | 5 | 10% |
Student > Master | 5 | 10% |
Researcher | 5 | 10% |
Other | 3 | 6% |
Other | 5 | 10% |
Unknown | 21 | 41% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 12 | 24% |
Medicine and Dentistry | 7 | 14% |
Agricultural and Biological Sciences | 5 | 10% |
Immunology and Microbiology | 3 | 6% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
Other | 4 | 8% |
Unknown | 19 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 76. 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 14 July 2022.
All research outputs
#473,313
of 22,842,950 outputs
Outputs from Clinical Cancer Research
#275
of 12,599 outputs
Outputs of similar age
#12,562
of 430,121 outputs
Outputs of similar age from Clinical Cancer Research
#14
of 154 outputs
Altmetric has tracked 22,842,950 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,599 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. This one has done particularly well, scoring higher than 97% 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 430,121 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 97% of its contemporaries.
We're also able to compare this research output to 154 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 91% of its contemporaries.