| Title |
Optimizing Cancer Treatment Using Game Theory: A Review
|
|---|---|
| Published in |
JAMA Oncology, January 2019
|
| DOI | 10.1001/jamaoncol.2018.3395 |
| Pubmed ID | |
| Authors |
Kateřina Staňková, Joel S. Brown, William S. Dalton, Robert A. Gatenby |
X Demographics
The data shown below were collected from the profiles of 166 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 | 60 | 36% |
| United Kingdom | 9 | 5% |
| Italy | 4 | 2% |
| Germany | 3 | 2% |
| Spain | 3 | 2% |
| Australia | 2 | 1% |
| Chile | 2 | 1% |
| Belgium | 2 | 1% |
| Egypt | 1 | <1% |
| Other | 15 | 9% |
| Unknown | 65 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 80 | 48% |
| Scientists | 58 | 35% |
| Practitioners (doctors, other healthcare professionals) | 22 | 13% |
| Science communicators (journalists, bloggers, editors) | 4 | 2% |
| Unknown | 2 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 241 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 241 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 40 | 17% |
| Student > Ph. D. Student | 34 | 14% |
| Student > Master | 26 | 11% |
| Student > Bachelor | 20 | 8% |
| Other | 13 | 5% |
| Other | 39 | 16% |
| Unknown | 69 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 35 | 15% |
| Biochemistry, Genetics and Molecular Biology | 29 | 12% |
| Agricultural and Biological Sciences | 22 | 9% |
| Mathematics | 13 | 5% |
| Computer Science | 9 | 4% |
| Other | 53 | 22% |
| Unknown | 80 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 260. 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 October 2023.
All research outputs
#144,108
of 25,824,818 outputs
Outputs from JAMA Oncology
#251
of 3,369 outputs
Outputs of similar age
#2,904
of 449,662 outputs
Outputs of similar age from JAMA Oncology
#10
of 100 outputs
Altmetric has tracked 25,824,818 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 3,369 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 84.1. This one has done particularly well, scoring higher than 92% 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 449,662 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 99% of its contemporaries.
We're also able to compare this research output to 100 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 90% of its contemporaries.