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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Use of Crowd Innovation to Develop an Artificial Intelligence–Based Solution for Radiation Therapy Targeting
|
|---|---|
| Published in |
JAMA Oncology, May 2019
|
| DOI | 10.1001/jamaoncol.2019.0159 |
| Pubmed ID | |
| Authors |
Raymond H. Mak, Michael G. Endres, Jin H. Paik, Rinat A. Sergeev, Hugo Aerts, Christopher L. Williams, Karim R. Lakhani, Eva C. Guinan |
X Demographics
The data shown below were collected from the profiles of 152 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 | 54 | 36% |
| Canada | 8 | 5% |
| United Kingdom | 7 | 5% |
| France | 4 | 3% |
| Spain | 4 | 3% |
| India | 3 | 2% |
| Germany | 3 | 2% |
| Venezuela, Bolivarian Republic of | 2 | 1% |
| Australia | 2 | 1% |
| Other | 18 | 12% |
| Unknown | 47 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 93 | 61% |
| Scientists | 40 | 26% |
| Practitioners (doctors, other healthcare professionals) | 13 | 9% |
| Science communicators (journalists, bloggers, editors) | 6 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 148 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 22 | 15% |
| Student > Ph. D. Student | 20 | 14% |
| Other | 11 | 7% |
| Student > Master | 10 | 7% |
| Student > Bachelor | 9 | 6% |
| Other | 20 | 14% |
| Unknown | 56 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 13% |
| Computer Science | 13 | 9% |
| Engineering | 10 | 7% |
| Business, Management and Accounting | 8 | 5% |
| Nursing and Health Professions | 5 | 3% |
| Other | 20 | 14% |
| Unknown | 73 | 49% |
Attention Score in Context
This research output has an Altmetric Attention Score of 199. 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 23 February 2021.
All research outputs
#201,923
of 25,738,558 outputs
Outputs from JAMA Oncology
#343
of 3,350 outputs
Outputs of similar age
#4,033
of 365,470 outputs
Outputs of similar age from JAMA Oncology
#10
of 100 outputs
Altmetric has tracked 25,738,558 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 3,350 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 82.7. This one has done well, scoring higher than 89% 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 365,470 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 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.