| Title |
Use of a Web-based Risk Appraisal Tool for Assessing Family History and Lifestyle Factors in Primary Care
|
|---|---|
| Published in |
Journal of General Internal Medicine, January 2013
|
| DOI | 10.1007/s11606-013-2338-z |
| Pubmed ID | |
| Authors |
Heather J. Baer, Louise I. Schneider, Graham A. Colditz, Hank Dart, Analisa Andry, Deborah H. Williams, E. John Orav, Jennifer S. Haas, George Getty, Elizabeth Whittemore, David W. Bates |
| Abstract |
Primary care clinicians can play an important role in identifying individuals at increased risk of cancer, but often do not obtain detailed information on family history or lifestyle factors from their patients. |
X Demographics
The data shown below were collected from the profiles of 4 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 Kingdom | 3 | 75% |
| United States | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 2% |
| United States | 1 | <1% |
| Canada | 1 | <1% |
| Switzerland | 1 | <1% |
| Unknown | 106 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 22 | 20% |
| Student > Master | 19 | 17% |
| Student > Ph. D. Student | 18 | 16% |
| Student > Bachelor | 12 | 11% |
| Professor > Associate Professor | 6 | 5% |
| Other | 15 | 14% |
| Unknown | 19 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 41 | 37% |
| Nursing and Health Professions | 16 | 14% |
| Psychology | 9 | 8% |
| Computer Science | 6 | 5% |
| Social Sciences | 6 | 5% |
| Other | 11 | 10% |
| Unknown | 22 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 44. 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 28 October 2014.
All research outputs
#859,943
of 23,911,072 outputs
Outputs from Journal of General Internal Medicine
#724
of 7,806 outputs
Outputs of similar age
#7,444
of 288,813 outputs
Outputs of similar age from Journal of General Internal Medicine
#4
of 44 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,806 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.8. This one has done particularly well, scoring higher than 90% 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 288,813 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
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 has done particularly well, scoring higher than 90% of its contemporaries.