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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Patient and primary care provider experience using a family health history collection, risk stratification, and clinical decision support tool: a type 2 hybrid controlled implementation-effectiveness trial
|
|---|---|
| Published in |
BMC Primary Care, August 2013
|
| DOI | 10.1186/1471-2296-14-111 |
| Pubmed ID | |
| Authors |
R Ryanne Wu, Lori A Orlando, Tiffany L Himmel, Adam H Buchanan, Karen P Powell, Elizabeth R Hauser, Astrid B Agbaje, Vincent C Henrich, Geoffrey S Ginsburg |
| Abstract |
Family health history (FHH) is the single strongest predictor of disease risk and yet is significantly underutilized in primary care. We developed a patient facing FHH collection tool, MeTree, that uses risk stratification to generate clinical decision support for breast cancer, colorectal cancer, ovarian cancer, hereditary cancer syndromes, and thrombosis. Here we present data on the experience of patients and providers after integration of MeTree into 2 primary care practices. |
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 % |
|---|---|---|
| Unknown | 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 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 121 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 23 | 19% |
| Student > Master | 21 | 17% |
| Student > Ph. D. Student | 19 | 15% |
| Student > Bachelor | 13 | 11% |
| Student > Doctoral Student | 7 | 6% |
| Other | 15 | 12% |
| Unknown | 25 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 34 | 28% |
| Psychology | 10 | 8% |
| Nursing and Health Professions | 8 | 7% |
| Computer Science | 7 | 6% |
| Biochemistry, Genetics and Molecular Biology | 6 | 5% |
| Other | 25 | 20% |
| Unknown | 33 | 27% |
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 August 2013.
All research outputs
#20,656,161
of 25,373,627 outputs
Outputs from BMC Primary Care
#1,953
of 2,359 outputs
Outputs of similar age
#158,788
of 208,858 outputs
Outputs of similar age from BMC Primary Care
#33
of 44 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,359 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 6th percentile – i.e., 6% 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 208,858 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.