You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Protocol to evaluate sequential electronic health record-based strategies to increase genetic testing for breast and ovarian cancer risk across diverse patient populations in gynecology practices
|
|---|---|
| Published in |
Implementation Science, November 2023
|
| DOI | 10.1186/s13012-023-01308-w |
| Pubmed ID | |
| Authors |
Heather Symecko, Robert Schnoll, Rinad S. Beidas, Justin E. Bekelman, Daniel Blumenthal, Anna-Marika Bauer, Peter Gabriel, Leland Boisseau, Abigail Doucette, Jacquelyn Powers, Jacqueline Cappadocia, Danielle B. McKenna, Robert Richardville, Lauren Cuff, Ryan Offer, Elizabeth G. Clement, Alison M. Buttenheim, David A. Asch, Katharine A. Rendle, Rachel C. Shelton, Oluwadamilola M. Fayanju, E. Paul Wileyto, Martina Plag, Sue Ware, Lawrence N. Shulman, Katherine L. Nathanson, Susan M. Domchek |
X Demographics
The data shown below were collected from the profiles of 7 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 States | 4 | 57% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Scientists | 1 | 14% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor > Associate Professor | 1 | 17% |
| Unspecified | 1 | 17% |
| Student > Master | 1 | 17% |
| Unknown | 3 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 1 | 17% |
| Nursing and Health Professions | 1 | 17% |
| Medicine and Dentistry | 1 | 17% |
| Unknown | 3 | 50% |
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 15 December 2023.
All research outputs
#7,822,193
of 25,490,562 outputs
Outputs from Implementation Science
#1,219
of 1,814 outputs
Outputs of similar age
#111,298
of 360,325 outputs
Outputs of similar age from Implementation Science
#21
of 26 outputs
Altmetric has tracked 25,490,562 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,814 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. 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 360,325 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 68% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.