| Title |
Undergraduate Medical Students’ and Interns’ Knowledge and Perception of Artificial Intelligence in Medicine
|
|---|---|
| Published in |
Advances in Medical Education and Practice, August 2022
|
| DOI | 10.2147/amep.s368519 |
| Pubmed ID | |
| Authors |
Nisha Jha, Pathiyil Ravi Shankar, Mohammed Azmi Al-Betar, Rupesh Mukhia, Kabita Hada, Subish Palaian |
X Demographics
The data shown below were collected from the profiles of 9 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 | 2 | 22% |
| Canada | 1 | 11% |
| United States | 1 | 11% |
| Malaysia | 1 | 11% |
| Unknown | 4 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 89% |
| Scientists | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 142 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 142 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 9 | 6% |
| Student > Ph. D. Student | 8 | 6% |
| Unspecified | 7 | 5% |
| Student > Bachelor | 7 | 5% |
| Professor > Associate Professor | 6 | 4% |
| Other | 27 | 19% |
| Unknown | 78 | 55% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 24 | 17% |
| Social Sciences | 12 | 8% |
| Unspecified | 9 | 6% |
| Nursing and Health Professions | 6 | 4% |
| Computer Science | 3 | 2% |
| Other | 11 | 8% |
| Unknown | 77 | 54% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 30 August 2022.
All research outputs
#5,445,703
of 25,748,735 outputs
Outputs from Advances in Medical Education and Practice
#1
of 1 outputs
Outputs of similar age
#107,906
of 433,848 outputs
Outputs of similar age from Advances in Medical Education and Practice
#1
of 1 outputs
Altmetric has tracked 25,748,735 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one scored the same or higher as 0 of them.
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 433,848 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them