| Title |
Diagnostic gene sequencing panels: from design to report—a technical standard of the American College of Medical Genetics and Genomics (ACMG)
|
|---|---|
| Published in |
Genetics in Medicine, November 2019
|
| DOI | 10.1038/s41436-019-0666-z |
| Pubmed ID | |
| Authors |
Lora J. H. Bean, Birgit Funke, Colleen M. Carlston, Jennifer L. Gannon, Sibel Kantarci, Bryan L. Krock, Shulin Zhang, Pinar Bayrak-Toydemir |
X Demographics
The data shown below were collected from the profiles of 86 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 | 14 | 16% |
| United Kingdom | 12 | 14% |
| Spain | 8 | 9% |
| Greece | 1 | 1% |
| Finland | 1 | 1% |
| South Africa | 1 | 1% |
| Sweden | 1 | 1% |
| Argentina | 1 | 1% |
| Germany | 1 | 1% |
| Other | 10 | 12% |
| Unknown | 36 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 44 | 51% |
| Scientists | 36 | 42% |
| Practitioners (doctors, other healthcare professionals) | 4 | 5% |
| Science communicators (journalists, bloggers, editors) | 2 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 247 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 247 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 33 | 13% |
| Student > Master | 28 | 11% |
| Student > Ph. D. Student | 27 | 11% |
| Other | 24 | 10% |
| Student > Bachelor | 15 | 6% |
| Other | 34 | 14% |
| Unknown | 86 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 79 | 32% |
| Medicine and Dentistry | 33 | 13% |
| Agricultural and Biological Sciences | 18 | 7% |
| Computer Science | 5 | 2% |
| Immunology and Microbiology | 4 | 2% |
| Other | 13 | 5% |
| Unknown | 95 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 53. 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 20 March 2024.
All research outputs
#815,785
of 25,914,360 outputs
Outputs from Genetics in Medicine
#219
of 2,967 outputs
Outputs of similar age
#16,559
of 359,283 outputs
Outputs of similar age from Genetics in Medicine
#4
of 46 outputs
Altmetric has tracked 25,914,360 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,967 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.1. This one has done particularly well, scoring higher than 92% 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 359,283 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 95% of its contemporaries.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.