| Title |
Developing a genetic services assessment tool to inform quality improvement efforts in state genetic service delivery
|
|---|---|
| Published in |
Genetics in Medicine, September 2018
|
| DOI | 10.1038/s41436-018-0141-2 |
| Pubmed ID | |
| Authors |
Ann F. Chou, John Mulvihill, Celia Kaye, Sylvia Mann, Marc S. Williams, Lori Williamson |
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 % |
|---|---|---|
| United States | 4 | 40% |
| Saudi Arabia | 1 | 10% |
| Nigeria | 1 | 10% |
| Taiwan | 1 | 10% |
| Unknown | 3 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 50% |
| Scientists | 3 | 30% |
| Practitioners (doctors, other healthcare professionals) | 1 | 10% |
| Science communicators (journalists, bloggers, editors) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 54 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 13% |
| Student > Master | 7 | 13% |
| Student > Doctoral Student | 5 | 9% |
| Student > Bachelor | 3 | 6% |
| Other | 3 | 6% |
| Other | 10 | 19% |
| Unknown | 19 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 24% |
| Nursing and Health Professions | 6 | 11% |
| Social Sciences | 4 | 7% |
| Computer Science | 3 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 6% |
| Other | 7 | 13% |
| Unknown | 18 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 February 2019.
All research outputs
#5,382,049
of 25,385,509 outputs
Outputs from Genetics in Medicine
#1,516
of 2,945 outputs
Outputs of similar age
#97,471
of 348,075 outputs
Outputs of similar age from Genetics in Medicine
#48
of 86 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,945 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 48th percentile – i.e., 48% 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 348,075 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 71% of its contemporaries.
We're also able to compare this research output to 86 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.