| Title |
Physician perspectives on integration of artificial intelligence into diagnostic pathology
|
|---|---|
| Published in |
npj Digital Medicine, April 2019
|
| DOI | 10.1038/s41746-019-0106-0 |
| Pubmed ID | |
| Authors |
Shihab Sarwar, Anglin Dent, Kevin Faust, Maxime Richer, Ugljesa Djuric, Randy Van Ommeren, Phedias Diamandis |
X Demographics
The data shown below were collected from the profiles of 118 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 | 27 | 23% |
| United Kingdom | 11 | 9% |
| Spain | 11 | 9% |
| Canada | 5 | 4% |
| Germany | 4 | 3% |
| India | 4 | 3% |
| Italy | 2 | 2% |
| Switzerland | 2 | 2% |
| Israel | 2 | 2% |
| Other | 13 | 11% |
| Unknown | 37 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 75 | 64% |
| Scientists | 21 | 18% |
| Practitioners (doctors, other healthcare professionals) | 15 | 13% |
| Science communicators (journalists, bloggers, editors) | 7 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 256 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 256 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 35 | 14% |
| Student > Ph. D. Student | 24 | 9% |
| Student > Master | 20 | 8% |
| Student > Bachelor | 18 | 7% |
| Student > Doctoral Student | 14 | 5% |
| Other | 45 | 18% |
| Unknown | 100 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 44 | 17% |
| Computer Science | 19 | 7% |
| Business, Management and Accounting | 10 | 4% |
| Nursing and Health Professions | 9 | 4% |
| Biochemistry, Genetics and Molecular Biology | 8 | 3% |
| Other | 51 | 20% |
| Unknown | 115 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 108. 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 22 March 2022.
All research outputs
#400,685
of 25,928,676 outputs
Outputs from npj Digital Medicine
#132
of 1,060 outputs
Outputs of similar age
#8,582
of 365,898 outputs
Outputs of similar age from npj Digital Medicine
#9
of 35 outputs
Altmetric has tracked 25,928,676 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,060 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 54.9. This one has done well, scoring higher than 87% 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 365,898 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 97% of its contemporaries.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.