| Title |
Ten Ways Artificial Intelligence Will Transform Primary Care
|
|---|---|
| Published in |
Journal of General Internal Medicine, May 2019
|
| DOI | 10.1007/s11606-019-05035-1 |
| Pubmed ID | |
| Authors |
Steven Y. Lin, Megan R. Mahoney, Christine A. Sinsky |
X Demographics
The data shown below were collected from the profiles of 49 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 | 11 | 22% |
| Australia | 3 | 6% |
| United Kingdom | 3 | 6% |
| Spain | 2 | 4% |
| Italy | 2 | 4% |
| Egypt | 1 | 2% |
| Colombia | 1 | 2% |
| Guinea | 1 | 2% |
| Austria | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 24 | 49% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 29 | 59% |
| Practitioners (doctors, other healthcare professionals) | 10 | 20% |
| Scientists | 6 | 12% |
| Science communicators (journalists, bloggers, editors) | 4 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 247 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 247 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 25 | 10% |
| Student > Doctoral Student | 21 | 9% |
| Student > Ph. D. Student | 20 | 8% |
| Student > Bachelor | 19 | 8% |
| Researcher | 17 | 7% |
| Other | 44 | 18% |
| Unknown | 101 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 45 | 18% |
| Nursing and Health Professions | 16 | 6% |
| Computer Science | 14 | 6% |
| Business, Management and Accounting | 12 | 5% |
| Social Sciences | 8 | 3% |
| Other | 41 | 17% |
| Unknown | 111 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 94. 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 16 June 2023.
All research outputs
#439,109
of 24,994,150 outputs
Outputs from Journal of General Internal Medicine
#345
of 8,084 outputs
Outputs of similar age
#9,577
of 357,488 outputs
Outputs of similar age from Journal of General Internal Medicine
#11
of 191 outputs
Altmetric has tracked 24,994,150 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 8,084 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.1. This one has done particularly well, scoring higher than 95% 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 357,488 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 191 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 94% of its contemporaries.