| Title |
Physicians’ Well-Being Linked To In-Basket Messages Generated By Algorithms In Electronic Health Records
|
|---|---|
| Published in |
Health Affairs, July 2019
|
| DOI | 10.1377/hlthaff.2018.05509 |
| Pubmed ID | |
| Authors |
Ming Tai-Seale, Ellis C Dillon, Yan Yang, Robert Nordgren, Ruth L Steinberg, Teresa Nauenberg, Tim C Lee, Amy Meehan, Jinnan Li, Albert Solomon Chan, Dominick L Frosch |
X Demographics
The data shown below were collected from the profiles of 189 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 | 99 | 52% |
| Spain | 7 | 4% |
| United Kingdom | 6 | 3% |
| France | 4 | 2% |
| Netherlands | 3 | 2% |
| Canada | 2 | 1% |
| United Arab Emirates | 2 | 1% |
| Kenya | 2 | 1% |
| Ireland | 1 | <1% |
| Other | 13 | 7% |
| Unknown | 50 | 26% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 106 | 56% |
| Practitioners (doctors, other healthcare professionals) | 39 | 21% |
| Scientists | 37 | 20% |
| Science communicators (journalists, bloggers, editors) | 7 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 137 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 12% |
| Student > Doctoral Student | 14 | 10% |
| Other | 13 | 9% |
| Student > Master | 11 | 8% |
| Student > Bachelor | 8 | 6% |
| Other | 30 | 22% |
| Unknown | 45 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 36 | 26% |
| Nursing and Health Professions | 13 | 9% |
| Social Sciences | 9 | 7% |
| Business, Management and Accounting | 7 | 5% |
| Psychology | 7 | 5% |
| Other | 19 | 14% |
| Unknown | 46 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 277. 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 18 June 2023.
All research outputs
#130,998
of 25,755,403 outputs
Outputs from Health Affairs
#382
of 6,544 outputs
Outputs of similar age
#2,439
of 364,976 outputs
Outputs of similar age from Health Affairs
#9
of 82 outputs
Altmetric has tracked 25,755,403 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 6,544 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 69.2. This one has done particularly well, scoring higher than 94% 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 364,976 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 82 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.