| Title |
Predictive Model-Driven Hotspotting to Decrease Emergency Department Visits: a Randomized Controlled Trial
|
|---|---|
| Published in |
Journal of General Internal Medicine, March 2021
|
| DOI | 10.1007/s11606-021-06664-1 |
| Pubmed ID | |
| Authors |
Brady Post, Jeremy Lapedis, Karandeep Singh, Paul Valenstein, Ayşe G. Büyüktür, Karin Teske, Andrew M. Ryan |
X Demographics
The data shown below were collected from the profiles of 43 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 | 17 | 40% |
| United Kingdom | 5 | 12% |
| Canada | 2 | 5% |
| France | 2 | 5% |
| Pakistan | 1 | 2% |
| Italy | 1 | 2% |
| Australia | 1 | 2% |
| India | 1 | 2% |
| Unknown | 13 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 22 | 51% |
| Scientists | 15 | 35% |
| Practitioners (doctors, other healthcare professionals) | 5 | 12% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 32 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 3 | 9% |
| Researcher | 3 | 9% |
| Student > Master | 3 | 9% |
| Professor | 3 | 9% |
| Lecturer | 2 | 6% |
| Other | 7 | 22% |
| Unknown | 11 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 25% |
| Unspecified | 3 | 9% |
| Economics, Econometrics and Finance | 2 | 6% |
| Business, Management and Accounting | 1 | 3% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 5 | 16% |
| Unknown | 12 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 27. 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 11 December 2021.
All research outputs
#1,419,127
of 25,159,758 outputs
Outputs from Journal of General Internal Medicine
#1,117
of 8,113 outputs
Outputs of similar age
#37,384
of 429,015 outputs
Outputs of similar age from Journal of General Internal Medicine
#41
of 258 outputs
Altmetric has tracked 25,159,758 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,113 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 well, scoring higher than 86% 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 429,015 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 91% of its contemporaries.
We're also able to compare this research output to 258 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.