Title |
Impact of a State Opioid Prescribing Limit and Electronic Medical Record Alert on Opioid Prescriptions: a Difference-in-Differences Analysis
|
---|---|
Published in |
Journal of General Internal Medicine, October 2019
|
DOI | 10.1007/s11606-019-05302-1 |
Pubmed ID | |
Authors |
Margaret Lowenstein, Erik Hossain, Wei Yang, David Grande, Jeanmarie Perrone, Mark D. Neuman, Michael Ashburn, M. Kit Delgado |
X Demographics
The data shown below were collected from the profiles of 29 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 | 18 | 62% |
Germany | 1 | 3% |
Unknown | 10 | 34% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 18 | 62% |
Scientists | 6 | 21% |
Practitioners (doctors, other healthcare professionals) | 4 | 14% |
Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 50 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 9 | 18% |
Researcher | 4 | 8% |
Other | 3 | 6% |
Professor | 3 | 6% |
Student > Ph. D. Student | 3 | 6% |
Other | 8 | 16% |
Unknown | 20 | 40% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 11 | 22% |
Social Sciences | 7 | 14% |
Nursing and Health Professions | 2 | 4% |
Computer Science | 2 | 4% |
Biochemistry, Genetics and Molecular Biology | 1 | 2% |
Other | 3 | 6% |
Unknown | 24 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 72. 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 02 March 2023.
All research outputs
#582,576
of 25,085,000 outputs
Outputs from Journal of General Internal Medicine
#459
of 8,096 outputs
Outputs of similar age
#12,887
of 359,583 outputs
Outputs of similar age from Journal of General Internal Medicine
#16
of 218 outputs
Altmetric has tracked 25,085,000 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,096 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 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 359,583 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 96% of its contemporaries.
We're also able to compare this research output to 218 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 93% of its contemporaries.