| Title |
A cancer genetics toolkit improves access to genetic services through documentation and use of the family history by primary-care clinicians
|
|---|---|
| Published in |
Genetics in Medicine, June 2013
|
| DOI | 10.1038/gim.2013.75 |
| Pubmed ID | |
| Authors |
Maren T. Scheuner, Alison B. Hamilton, Jane Peredo, Taylor J. Sale, Colletta Austin, Stuart C. Gilman, M. Scott Bowen, Caroline Lubick Goldzweig, Martin Lee, Brian S. Mittman, Elizabeth M. Yano |
| Abstract |
We developed, implemented, and evaluated a multicomponent cancer genetics toolkit designed to improve recognition and appropriate referral of individuals at risk for hereditary cancer syndromes. |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 3 | 30% |
| United States | 2 | 20% |
| Unknown | 5 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 50% |
| Members of the public | 4 | 40% |
| Practitioners (doctors, other healthcare professionals) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| Unknown | 79 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 15 | 19% |
| Student > Ph. D. Student | 10 | 13% |
| Researcher | 9 | 11% |
| Student > Bachelor | 7 | 9% |
| Student > Postgraduate | 4 | 5% |
| Other | 14 | 18% |
| Unknown | 21 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 24 | 30% |
| Social Sciences | 8 | 10% |
| Nursing and Health Professions | 7 | 9% |
| Biochemistry, Genetics and Molecular Biology | 6 | 8% |
| Engineering | 2 | 3% |
| Other | 9 | 11% |
| Unknown | 24 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 02 August 2021.
All research outputs
#1,764,832
of 25,373,627 outputs
Outputs from Genetics in Medicine
#598
of 2,943 outputs
Outputs of similar age
#14,777
of 209,497 outputs
Outputs of similar age from Genetics in Medicine
#8
of 35 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,943 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.0. This one has done well, scoring higher than 79% 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 209,497 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 92% of its contemporaries.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.