You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Effectiveness of a novel and scalable clinical decision support intervention to improve venous thromboembolism prophylaxis: a quasi-experimental study
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, August 2012
|
| DOI | 10.1186/1472-6947-12-92 |
| Pubmed ID | |
| Authors |
Craig A Umscheid, Asaf Hanish, Jesse Chittams, Mark G Weiner, Todd EH Hecht |
| Abstract |
Venous thromboembolism (VTE) causes morbidity and mortality in hospitalized patients, and regulators and payors are encouraging the use of systems to prevent them. Here, we examine the effect of a computerized clinical decision support (CDS) intervention implemented across a multi-hospital academic health system on VTE prophylaxis and events. |
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 % |
|---|---|---|
| India | 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 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 4% |
| United Kingdom | 1 | 1% |
| Canada | 1 | 1% |
| Unknown | 75 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 15 | 19% |
| Student > Postgraduate | 12 | 15% |
| Student > Ph. D. Student | 10 | 13% |
| Student > Bachelor | 6 | 8% |
| Other | 6 | 8% |
| Other | 19 | 24% |
| Unknown | 12 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 33 | 41% |
| Computer Science | 7 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 6% |
| Nursing and Health Professions | 5 | 6% |
| Social Sciences | 5 | 6% |
| Other | 11 | 14% |
| Unknown | 14 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 September 2012.
All research outputs
#18,313,878
of 22,675,759 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,562
of 1,978 outputs
Outputs of similar age
#130,332
of 170,107 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#45
of 45 outputs
Altmetric has tracked 22,675,759 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,978 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 9th percentile – i.e., 9% of its peers scored the same or lower than it.
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 170,107 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.