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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Use of an Electronic Problem List by Primary Care Providers and Specialists
|
|---|---|
| Published in |
Journal of General Internal Medicine, March 2012
|
| DOI | 10.1007/s11606-012-2033-5 |
| Pubmed ID | |
| Authors |
Adam Wright, Joshua Feblowitz, Francine L. Maloney, Stanislav Henkin, David W. Bates |
| Abstract |
Accurate patient problem lists are valuable tools for improving the quality of care, enabling clinical decision support, and facilitating research and quality measurement. However, problem lists are frequently inaccurate and out-of-date and use varies widely across providers. |
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 % |
|---|---|---|
| Argentina | 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 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 2% |
| Argentina | 2 | 2% |
| Canada | 1 | 1% |
| Unknown | 83 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 18% |
| Student > Ph. D. Student | 15 | 17% |
| Student > Postgraduate | 13 | 15% |
| Student > Master | 7 | 8% |
| Professor | 5 | 6% |
| Other | 22 | 25% |
| Unknown | 10 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 44 | 50% |
| Computer Science | 10 | 11% |
| Nursing and Health Professions | 5 | 6% |
| Social Sciences | 5 | 6% |
| Agricultural and Biological Sciences | 2 | 2% |
| Other | 10 | 11% |
| Unknown | 12 | 14% |
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 29 July 2012.
All research outputs
#19,440,618
of 23,911,072 outputs
Outputs from Journal of General Internal Medicine
#6,622
of 7,806 outputs
Outputs of similar age
#139,824
of 179,326 outputs
Outputs of similar age from Journal of General Internal Medicine
#32
of 38 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,806 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.8. This one is in the 7th percentile – i.e., 7% 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 179,326 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.