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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 chemotherapy
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, August 2014
|
| DOI | 10.1186/1472-6947-14-73 |
| Pubmed ID | |
| Authors |
Clara N Lee, Matthew H Wetschler, Yuchiao Chang, Jeffrey K Belkora, Beverly Moy, Ann Partridge, Karen R Sepucha |
| Abstract |
Women diagnosed with early stage (I or II) breast cancer face a highly challenging decision - whether or not to undergo adjuvant chemotherapy. We developed a decision quality instrument for chemotherapy for early stage breast cancer and sought to evaluate its performance. |
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 % |
|---|---|---|
| India | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| Unknown | 35 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 25% |
| Student > Ph. D. Student | 7 | 19% |
| Other | 3 | 8% |
| Student > Doctoral Student | 3 | 8% |
| Student > Postgraduate | 2 | 6% |
| Other | 7 | 19% |
| Unknown | 5 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 36% |
| Nursing and Health Professions | 5 | 14% |
| Psychology | 4 | 11% |
| Social Sciences | 4 | 11% |
| Sports and Recreations | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 6 | 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 21 August 2014.
All research outputs
#18,376,056
of 22,760,687 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,567
of 1,984 outputs
Outputs of similar age
#167,939
of 235,611 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#32
of 32 outputs
Altmetric has tracked 22,760,687 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,984 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 9th percentile – i.e., 9% 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 235,611 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.