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X Demographics
Mendeley readers
Attention Score in Context
Title |
Medical practices display power law behaviors similar to spoken languages
|
---|---|
Published in |
BMC Medical Informatics and Decision Making, September 2013
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DOI | 10.1186/1472-6947-13-102 |
Pubmed ID | |
Authors |
Jonathan D Paladino, Philip S Crooke, Christopher R Brackney, A Murat Kaynar, John R Hotchkiss |
Abstract |
Medical care commonly involves the apprehension of complex patterns of patient derangements to which the practitioner responds with patterns of interventions, as opposed to single therapeutic maneuvers. This complexity renders the objective assessment of practice patterns using conventional statistical approaches difficult. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 50% |
Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | 5% |
United States | 1 | 5% |
Unknown | 18 | 90% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor > Associate Professor | 4 | 20% |
Student > Master | 4 | 20% |
Student > Bachelor | 2 | 10% |
Researcher | 2 | 10% |
Librarian | 1 | 5% |
Other | 4 | 20% |
Unknown | 3 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Nursing and Health Professions | 6 | 30% |
Social Sciences | 3 | 15% |
Medicine and Dentistry | 2 | 10% |
Agricultural and Biological Sciences | 1 | 5% |
Mathematics | 1 | 5% |
Other | 2 | 10% |
Unknown | 5 | 25% |
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 11 October 2013.
All research outputs
#15,279,577
of 22,721,584 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,307
of 1,982 outputs
Outputs of similar age
#120,977
of 196,876 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#34
of 47 outputs
Altmetric has tracked 22,721,584 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,982 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 24th percentile – i.e., 24% 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 196,876 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.