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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Designing a patient-centered personal health record to promote preventive care
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, November 2011
|
| DOI | 10.1186/1472-6947-11-73 |
| Pubmed ID | |
| Authors |
Alex H Krist, Eric Peele, Steven H Woolf, Stephen F Rothemich, John F Loomis, Daniel R Longo, Anton J Kuzel |
| Abstract |
Evidence-based preventive services offer profound health benefits, yet Americans receive only half of indicated care. A variety of government and specialty society policy initiatives are promoting the adoption of information technologies to engage patients in their care, such as personal health records, but current systems may not utilize the technology's full potential. |
X Demographics
The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 17% |
| Canada | 2 | 17% |
| Spain | 2 | 17% |
| India | 1 | 8% |
| Unknown | 5 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 83% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
| Scientists | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 267 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 2% |
| United Kingdom | 3 | 1% |
| Malaysia | 1 | <1% |
| Argentina | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 255 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 52 | 19% |
| Researcher | 36 | 13% |
| Student > Ph. D. Student | 36 | 13% |
| Student > Doctoral Student | 20 | 7% |
| Student > Bachelor | 18 | 7% |
| Other | 52 | 19% |
| Unknown | 53 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 77 | 29% |
| Computer Science | 30 | 11% |
| Nursing and Health Professions | 28 | 10% |
| Social Sciences | 17 | 6% |
| Engineering | 10 | 4% |
| Other | 42 | 16% |
| Unknown | 63 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 06 November 2013.
All research outputs
#3,553,076
of 22,659,164 outputs
Outputs from BMC Medical Informatics and Decision Making
#296
of 1,978 outputs
Outputs of similar age
#29,485
of 239,474 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#3
of 17 outputs
Altmetric has tracked 22,659,164 research outputs across all sources so far. Compared to these this one has done well and is in the 84th 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 well, scoring higher than 84% 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 239,474 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 87% 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 done well, scoring higher than 82% of its contemporaries.