Title |
Integrated Personal Health Records: Transformative Tools for Consumer-Centric Care
|
---|---|
Published in |
BMC Medical Informatics and Decision Making, October 2008
|
DOI | 10.1186/1472-6947-8-45 |
Pubmed ID | |
Authors |
Don Detmer, Meryl Bloomrosen, Brian Raymond, Paul Tang |
Abstract |
Integrated personal health records (PHRs) offer significant potential to stimulate transformational changes in health care delivery and self-care by patients. In 2006, an invitational roundtable sponsored by Kaiser Permanente Institute, the American Medical Informatics Association, and the Agency for Healthcare Research and Quality was held to identify the transformative potential of PHRs, as well as barriers to realizing this potential and a framework for action to move them closer to the health care mainstream. This paper highlights and builds on the insights shared during the roundtable. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 2 | 50% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Science communicators (journalists, bloggers, editors) | 2 | 50% |
Practitioners (doctors, other healthcare professionals) | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 447 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 24 | 5% |
United Kingdom | 6 | 1% |
Spain | 3 | <1% |
Canada | 3 | <1% |
Portugal | 2 | <1% |
Switzerland | 2 | <1% |
Nigeria | 2 | <1% |
Mexico | 1 | <1% |
Argentina | 1 | <1% |
Other | 4 | <1% |
Unknown | 399 | 89% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 117 | 26% |
Student > Ph. D. Student | 82 | 18% |
Researcher | 47 | 11% |
Student > Doctoral Student | 24 | 5% |
Student > Bachelor | 24 | 5% |
Other | 84 | 19% |
Unknown | 69 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 105 | 23% |
Medicine and Dentistry | 87 | 19% |
Business, Management and Accounting | 42 | 9% |
Social Sciences | 41 | 9% |
Nursing and Health Professions | 31 | 7% |
Other | 66 | 15% |
Unknown | 75 | 17% |
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 17 May 2016.
All research outputs
#2,392,453
of 22,653,392 outputs
Outputs from BMC Medical Informatics and Decision Making
#168
of 1,978 outputs
Outputs of similar age
#7,038
of 89,632 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#3
of 13 outputs
Altmetric has tracked 22,653,392 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,978 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 91% 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 89,632 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 92% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.