The data shown below were collected from the profiles of 42 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Evaluating large language models on a highly-specialized topic, radiation oncology physics
|
|---|---|
| Published in |
Frontiers in oncology, July 2023
|
| DOI | 10.3389/fonc.2023.1219326 |
| Pubmed ID | |
| Authors |
Jason Holmes, Zhengliang Liu, Lian Zhang, Yuzhen Ding, Terence T. Sio, Lisa A. McGee, Jonathan B. Ashman, Xiang Li, Tianming Liu, Jiajian Shen, Wei Liu |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 19% |
| France | 1 | 2% |
| Brazil | 1 | 2% |
| Malaysia | 1 | 2% |
| Australia | 1 | 2% |
| Indonesia | 1 | 2% |
| Singapore | 1 | 2% |
| Unknown | 28 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 25 | 60% |
| Scientists | 15 | 36% |
| Practitioners (doctors, other healthcare professionals) | 1 | 2% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 69 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 7 | 10% |
| Researcher | 6 | 9% |
| Student > Ph. D. Student | 4 | 6% |
| Student > Master | 4 | 6% |
| Student > Bachelor | 4 | 6% |
| Other | 11 | 16% |
| Unknown | 33 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 10 | 14% |
| Medicine and Dentistry | 8 | 12% |
| Engineering | 3 | 4% |
| Business, Management and Accounting | 2 | 3% |
| Physics and Astronomy | 2 | 3% |
| Other | 9 | 13% |
| Unknown | 35 | 51% |
Attention Score in Context
This research output has an Altmetric Attention Score of 28. 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 13 December 2023.
All research outputs
#1,466,406
of 26,415,089 outputs
Outputs from Frontiers in oncology
#260
of 23,127 outputs
Outputs of similar age
#26,242
of 360,893 outputs
Outputs of similar age from Frontiers in oncology
#6
of 1,063 outputs
Altmetric has tracked 26,415,089 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 23,127 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done particularly well, scoring higher than 98% 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 360,893 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 92% of its contemporaries.
We're also able to compare this research output to 1,063 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.