| Title |
The role of a best practice alert in the electronic medical record in reducing repetitive lab tests
|
|---|---|
| Published in |
ClinicoEconomics and Outcomes Research: CEOR, October 2018
|
| DOI | 10.2147/ceor.s167499 |
| Pubmed ID | |
| Authors |
Harini Bejjanki, Lazarus K Mramba, Stacy G Beal, Nila Radhakrishnan, Rohit Bishnoi, Chintan Shah, Nikhil Agrawal, Neil Harris, Robert Leverence, Kenneth Rand |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 66 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 12% |
| Other | 4 | 6% |
| Student > Bachelor | 4 | 6% |
| Student > Doctoral Student | 3 | 5% |
| Professor | 3 | 5% |
| Other | 12 | 18% |
| Unknown | 32 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 20% |
| Nursing and Health Professions | 4 | 6% |
| Business, Management and Accounting | 4 | 6% |
| Biochemistry, Genetics and Molecular Biology | 3 | 5% |
| Economics, Econometrics and Finance | 2 | 3% |
| Other | 7 | 11% |
| Unknown | 33 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 25 October 2020.
All research outputs
#2,801,102
of 25,461,852 outputs
Outputs from ClinicoEconomics and Outcomes Research: CEOR
#59
of 525 outputs
Outputs of similar age
#56,332
of 354,836 outputs
Outputs of similar age from ClinicoEconomics and Outcomes Research: CEOR
#6
of 17 outputs
Altmetric has tracked 25,461,852 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 525 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.0. This one has done well, scoring higher than 88% 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 354,836 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 17 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 64% of its contemporaries.