You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
Title |
Clinical decision modeling system
|
---|---|
Published in |
BMC Medical Informatics and Decision Making, August 2007
|
DOI | 10.1186/1472-6947-7-23 |
Pubmed ID | |
Authors |
Haiwen Shi, James Lyons-Weiler |
Abstract |
Decision analysis techniques can be applied in complex situations involving uncertainty and the consideration of multiple objectives. Classical decision modeling techniques require elicitation of too many parameter estimates and their conditional (joint) probabilities, and have not therefore been applied to the problem of identifying high-performance, cost-effective combinations of clinical options for diagnosis or treatments where many of the objectives are unknown or even unspecified. |
X Demographics
The data shown below were collected from the profiles of 7 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 | 4 | 57% |
Unknown | 3 | 43% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 86% |
Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Colombia | 1 | 1% |
Switzerland | 1 | 1% |
Indonesia | 1 | 1% |
France | 1 | 1% |
Pakistan | 1 | 1% |
Canada | 1 | 1% |
Saudi Arabia | 1 | 1% |
United States | 1 | 1% |
Unknown | 81 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 17 | 19% |
Student > Ph. D. Student | 11 | 12% |
Student > Master | 11 | 12% |
Other | 9 | 10% |
Student > Postgraduate | 7 | 8% |
Other | 27 | 30% |
Unknown | 7 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 25 | 28% |
Computer Science | 19 | 21% |
Psychology | 7 | 8% |
Business, Management and Accounting | 5 | 6% |
Social Sciences | 4 | 4% |
Other | 18 | 20% |
Unknown | 11 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 July 2022.
All research outputs
#4,894,788
of 25,768,270 outputs
Outputs from BMC Medical Informatics and Decision Making
#401
of 2,158 outputs
Outputs of similar age
#13,558
of 79,251 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#1
of 4 outputs
Altmetric has tracked 25,768,270 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,158 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 81% 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 79,251 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 82% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them