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X Demographics
Mendeley readers
Attention Score in Context
Title |
Evaluation of PROforma as a language for implementing medical guidelines in a practical context
|
---|---|
Published in |
BMC Medical Informatics and Decision Making, April 2006
|
DOI | 10.1186/1472-6947-6-20 |
Pubmed ID | |
Authors |
David R Sutton, Paul Taylor, Kenneth Earle |
Abstract |
PROforma is one of several languages that allow clinical guidelines to be expressed in a computer-interpretable manner. How these languages should be compared, and what requirements they should meet, are questions that are being actively addressed by a community of interested researchers. |
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 % |
---|---|---|
United Kingdom | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 4 | 4% |
Colombia | 1 | 1% |
Austria | 1 | 1% |
Romania | 1 | 1% |
Spain | 1 | 1% |
United States | 1 | 1% |
Unknown | 87 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 18 | 19% |
Researcher | 16 | 17% |
Student > Ph. D. Student | 16 | 17% |
Student > Postgraduate | 8 | 8% |
Student > Bachelor | 5 | 5% |
Other | 17 | 18% |
Unknown | 16 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 27 | 28% |
Medicine and Dentistry | 25 | 26% |
Nursing and Health Professions | 6 | 6% |
Social Sciences | 6 | 6% |
Biochemistry, Genetics and Molecular Biology | 3 | 3% |
Other | 13 | 14% |
Unknown | 16 | 17% |
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 06 February 2014.
All research outputs
#15,293,290
of 22,743,667 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,308
of 1,985 outputs
Outputs of similar age
#58,424
of 66,333 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#8
of 9 outputs
Altmetric has tracked 22,743,667 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 1,985 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 66,333 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one.