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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Development of a tool to improve the quality of decision making in atrial fibrillation
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, October 2011
|
| DOI | 10.1186/1472-6947-11-59 |
| Pubmed ID | |
| Authors |
Liana Fraenkel, Richard L Street, Terri R Fried |
| Abstract |
Decision-making about appropriate therapy to reduce the stroke risk associated with non-valvular atrial fibrillation (NVAF) involves the consideration of trade-offs among the benefits, risks, and inconveniences of different treatment options. The objective of this paper is to describe the development of a decision support tool for NVAF based on the provision of individualized risk estimates for stroke and bleeding and on preparing patients to communicate with their physicians about their values and potential treatment options. |
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 % |
|---|---|---|
| Peru | 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 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 1% |
| Netherlands | 1 | 1% |
| United States | 1 | 1% |
| Slovenia | 1 | 1% |
| Unknown | 81 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 14% |
| Student > Ph. D. Student | 11 | 13% |
| Student > Master | 10 | 12% |
| Student > Bachelor | 9 | 11% |
| Student > Doctoral Student | 9 | 11% |
| Other | 16 | 19% |
| Unknown | 18 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 32 | 38% |
| Psychology | 10 | 12% |
| Nursing and Health Professions | 7 | 8% |
| Computer Science | 5 | 6% |
| Economics, Econometrics and Finance | 3 | 4% |
| Other | 8 | 9% |
| Unknown | 20 | 24% |
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 2011.
All research outputs
#15,236,094
of 22,653,392 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,305
of 1,978 outputs
Outputs of similar age
#92,744
of 133,853 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#13
of 15 outputs
Altmetric has tracked 22,653,392 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 1,978 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 133,853 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.