| Title |
Comparing Physician and Artificial Intelligence Chatbot Responses to Patient Questions Posted to a Public Social Media Forum
|
|---|---|
| Published in |
JAMA Internal Medicine, June 2023
|
| DOI | 10.1001/jamainternmed.2023.1838 |
| Pubmed ID | |
| Authors |
John W. Ayers, Adam Poliak, Mark Dredze, Eric C. Leas, Zechariah Zhu, Jessica B. Kelley, Dennis J. Faix, Aaron M. Goodman, Christopher A. Longhurst, Michael Hogarth, Davey M. Smith |
X Demographics
The data shown below were collected from the profiles of 6,106 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 | 1251 | 20% |
| United Kingdom | 219 | 4% |
| Spain | 186 | 3% |
| Canada | 169 | 3% |
| Japan | 109 | 2% |
| Australia | 97 | 2% |
| Brazil | 95 | 2% |
| Germany | 79 | 1% |
| India | 69 | 1% |
| Other | 897 | 15% |
| Unknown | 2935 | 48% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4988 | 82% |
| Scientists | 672 | 11% |
| Practitioners (doctors, other healthcare professionals) | 330 | 5% |
| Science communicators (journalists, bloggers, editors) | 116 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 470 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 470 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 64 | 14% |
| Student > Ph. D. Student | 41 | 9% |
| Other | 27 | 6% |
| Student > Bachelor | 23 | 5% |
| Student > Doctoral Student | 19 | 4% |
| Other | 96 | 20% |
| Unknown | 200 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 98 | 21% |
| Computer Science | 33 | 7% |
| Unspecified | 15 | 3% |
| Biochemistry, Genetics and Molecular Biology | 13 | 3% |
| Social Sciences | 12 | 3% |
| Other | 85 | 18% |
| Unknown | 214 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6246. 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 12 April 2024.
All research outputs
#532
of 25,726,194 outputs
Outputs from JAMA Internal Medicine
#5
of 11,721 outputs
Outputs of similar age
#9
of 388,436 outputs
Outputs of similar age from JAMA Internal Medicine
#1
of 81 outputs
Altmetric has tracked 25,726,194 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 11,721 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 85.4. 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 388,436 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 81 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.