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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Measuring decision quality: psychometric evaluation of a new instrument for breast cancer surgery
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, June 2012
|
| DOI | 10.1186/1472-6947-12-51 |
| Pubmed ID | |
| Authors |
Karen R Sepucha, Jeffrey K Belkora, Yuchiao Chang, Carol Cosenza, Carrie A Levin, Beverly Moy, Ann Partridge, Clara N Lee |
| Abstract |
The purpose of this paper is to examine the acceptability, feasibility, reliability and validity of a new decision quality instrument that assesses the extent to which patients are informed and receive treatments that match their goals. |
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 % |
|---|---|---|
| Spain | 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 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 62 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 28% |
| Student > Ph. D. Student | 9 | 14% |
| Other | 4 | 6% |
| Student > Doctoral Student | 4 | 6% |
| Student > Master | 4 | 6% |
| Other | 11 | 17% |
| Unknown | 14 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 21 | 33% |
| Psychology | 7 | 11% |
| Social Sciences | 6 | 9% |
| Nursing and Health Professions | 3 | 5% |
| Computer Science | 3 | 5% |
| Other | 10 | 16% |
| Unknown | 14 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 25 April 2017.
All research outputs
#3,098,234
of 22,668,244 outputs
Outputs from BMC Medical Informatics and Decision Making
#260
of 1,978 outputs
Outputs of similar age
#21,396
of 166,791 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#6
of 47 outputs
Altmetric has tracked 22,668,244 research outputs across all sources so far. Compared to these this one has done well and is in the 86th 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 86% 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 166,791 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 86% of its contemporaries.
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 has done well, scoring higher than 87% of its contemporaries.