Title |
Does Improved Continuity of Primary Care Affect Clinician–Patient Communication in VA?
|
---|---|
Published in |
Journal of General Internal Medicine, September 2013
|
DOI | 10.1007/s11606-013-2633-8 |
Pubmed ID | |
Authors |
David A. Katz, Kim McCoy, Mary Vaughan Sarrazin |
Abstract |
Recent changes in health care delivery may reduce continuity with the patient's primary care provider (PCP). Little is known about the association between continuity and quality of communication during ongoing efforts to redesign primary care in the Veterans Administration (VA). |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 3 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Science communicators (journalists, bloggers, editors) | 2 | 67% |
Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 1% |
Unknown | 93 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 18 | 19% |
Student > Ph. D. Student | 13 | 14% |
Student > Master | 13 | 14% |
Student > Bachelor | 9 | 10% |
Student > Doctoral Student | 5 | 5% |
Other | 17 | 18% |
Unknown | 19 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 34 | 36% |
Nursing and Health Professions | 12 | 13% |
Social Sciences | 7 | 7% |
Psychology | 4 | 4% |
Computer Science | 2 | 2% |
Other | 11 | 12% |
Unknown | 24 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 27 June 2014.
All research outputs
#15,597,573
of 24,717,821 outputs
Outputs from Journal of General Internal Medicine
#5,729
of 8,000 outputs
Outputs of similar age
#118,956
of 209,127 outputs
Outputs of similar age from Journal of General Internal Medicine
#36
of 70 outputs
Altmetric has tracked 24,717,821 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,000 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.2. This one is in the 25th percentile – i.e., 25% 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 209,127 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 70 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.