| Title |
Artificial Intelligence Versus Clinicians in Disease Diagnosis: Systematic Review
|
|---|---|
| Published in |
JMIR Medical Informatics, August 2019
|
| DOI | 10.2196/10010 |
| Pubmed ID | |
| Authors |
Jiayi Shen, Casper J P Zhang, Bangsheng Jiang, Jiebin Chen, Jian Song, Zherui Liu, Zonglin He, Sum Yi Wong, Po-Han Fang, Wai-Kit Ming |
X Demographics
The data shown below were collected from the profiles of 34 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 Kingdom | 5 | 15% |
| United States | 4 | 12% |
| Spain | 3 | 9% |
| Norway | 2 | 6% |
| Hungary | 1 | 3% |
| Belgium | 1 | 3% |
| Nigeria | 1 | 3% |
| Pakistan | 1 | 3% |
| Australia | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 13 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 25 | 74% |
| Practitioners (doctors, other healthcare professionals) | 4 | 12% |
| Scientists | 3 | 9% |
| Science communicators (journalists, bloggers, editors) | 2 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 351 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 351 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 47 | 13% |
| Student > Master | 33 | 9% |
| Researcher | 29 | 8% |
| Student > Bachelor | 23 | 7% |
| Other | 22 | 6% |
| Other | 48 | 14% |
| Unknown | 149 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 56 | 16% |
| Computer Science | 39 | 11% |
| Social Sciences | 16 | 5% |
| Nursing and Health Professions | 13 | 4% |
| Business, Management and Accounting | 11 | 3% |
| Other | 58 | 17% |
| Unknown | 158 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 61. 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 25 April 2024.
All research outputs
#717,552
of 25,789,020 outputs
Outputs from JMIR Medical Informatics
#15
of 1,262 outputs
Outputs of similar age
#14,390
of 339,595 outputs
Outputs of similar age from JMIR Medical Informatics
#2
of 33 outputs
Altmetric has tracked 25,789,020 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 1,262 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. 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 339,595 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 95% of its contemporaries.
We're also able to compare this research output to 33 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 93% of its contemporaries.