| Title |
Evidence synthesis and guideline development in genomic medicine: current status and future prospects
|
|---|---|
| Published in |
Genetics in Medicine, June 2014
|
| DOI | 10.1038/gim.2014.69 |
| Pubmed ID | |
| Authors |
Sheri D. Schully, Tram Kim Lam, W. David Dotson, Christine Q. Chang, Naomi Aronson, Marian L. Birkeland, Stephanie Jo Brewster, Stefania Boccia, Adam H. Buchanan, Ned Calonge, Kathleen Calzone, Benjamin Djulbegovic, Katrina A.B. Goddard, Roger D. Klein, Teri E. Klein, Joseph Lau, Rochelle Long, Gary H. Lyman, Rebecca L. Morgan, Christina G.S. Palmer, Mary V. Relling, Wendy S. Rubinstein, Jesse J. Swen, Sharon F. Terry, Marc S. Williams, Muin J. Khoury |
| Abstract |
With the accelerated implementation of genomic medicine, health-care providers will depend heavily on professional guidelines and recommendations. Because genomics affects many diseases across the life span, no single professional group covers the entirety of this rapidly developing field. |
X Demographics
The data shown below were collected from the profiles of 8 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 | 50% |
| Germany | 1 | 13% |
| Unknown | 3 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 63% |
| Scientists | 2 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 6% |
| Unknown | 45 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 17% |
| Other | 6 | 13% |
| Student > Doctoral Student | 4 | 8% |
| Professor > Associate Professor | 4 | 8% |
| Student > Bachelor | 3 | 6% |
| Other | 12 | 25% |
| Unknown | 11 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 40% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
| Business, Management and Accounting | 2 | 4% |
| Nursing and Health Professions | 2 | 4% |
| Agricultural and Biological Sciences | 2 | 4% |
| Other | 7 | 15% |
| Unknown | 14 | 29% |
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 01 January 2016.
All research outputs
#5,165,207
of 25,371,288 outputs
Outputs from Genetics in Medicine
#1,456
of 2,943 outputs
Outputs of similar age
#47,482
of 242,757 outputs
Outputs of similar age from Genetics in Medicine
#20
of 38 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% 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 gotten more attention than average, scoring higher than 50% 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 242,757 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.