| Title |
Return of incidental findings in genomic medicine: measuring what patients value—development of an instrument to measure preferences for information from next-generation testing (IMPRINT)
|
|---|---|
| Published in |
Genetics in Medicine, May 2013
|
| DOI | 10.1038/gim.2013.63 |
| Pubmed ID | |
| Authors |
Caroline Savage Bennette, Susan Brown Trinidad, Stephanie M. Fullerton, Donald Patrick, Laura Amendola, Wylie Burke, Fuki M. Hisama, Gail P. Jarvik, Dean A. Regier, David L. Veenstra |
X Demographics
The data shown below were collected from the profiles of 6 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 | 50% |
| United States | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 2 | 2% |
| United States | 1 | 1% |
| Unknown | 83 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 15 | 17% |
| Researcher | 13 | 15% |
| Student > Ph. D. Student | 11 | 13% |
| Student > Doctoral Student | 5 | 6% |
| Student > Bachelor | 4 | 5% |
| Other | 18 | 21% |
| Unknown | 20 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 17% |
| Biochemistry, Genetics and Molecular Biology | 13 | 15% |
| Agricultural and Biological Sciences | 10 | 12% |
| Social Sciences | 7 | 8% |
| Economics, Econometrics and Finance | 4 | 5% |
| Other | 10 | 12% |
| Unknown | 27 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 18 November 2013.
All research outputs
#8,187,031
of 25,374,917 outputs
Outputs from Genetics in Medicine
#1,985
of 2,943 outputs
Outputs of similar age
#68,145
of 207,699 outputs
Outputs of similar age from Genetics in Medicine
#27
of 39 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
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 is in the 32nd percentile – i.e., 32% 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 207,699 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.