| Title |
Navigating highly homologous genes in a molecular diagnostic setting: a resource for clinical next-generation sequencing
|
|---|---|
| Published in |
Genetics in Medicine, May 2016
|
| DOI | 10.1038/gim.2016.58 |
| Pubmed ID | |
| Authors |
Diana Mandelker, Ryan J. Schmidt, Arunkanth Ankala, Kristin McDonald Gibson, Mark Bowser, Himanshu Sharma, Elizabeth Duffy, Madhuri Hegde, Avni Santani, Matthew Lebo, Birgit Funke |
X Demographics
The data shown below were collected from the profiles of 15 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 | 5 | 33% |
| Argentina | 1 | 7% |
| France | 1 | 7% |
| Australia | 1 | 7% |
| Djibouti | 1 | 7% |
| United Kingdom | 1 | 7% |
| Nigeria | 1 | 7% |
| Saudi Arabia | 1 | 7% |
| Spain | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 2 | 13% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 8 | 53% |
| Members of the public | 4 | 27% |
| Practitioners (doctors, other healthcare professionals) | 2 | 13% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 179 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Italy | 1 | <1% |
| Norway | 1 | <1% |
| Unknown | 176 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 45 | 25% |
| Student > Ph. D. Student | 26 | 15% |
| Other | 17 | 9% |
| Student > Master | 15 | 8% |
| Student > Postgraduate | 9 | 5% |
| Other | 24 | 13% |
| Unknown | 43 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 60 | 34% |
| Agricultural and Biological Sciences | 28 | 16% |
| Medicine and Dentistry | 19 | 11% |
| Computer Science | 6 | 3% |
| Unspecified | 3 | 2% |
| Other | 10 | 6% |
| Unknown | 53 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 07 December 2019.
All research outputs
#3,766,338
of 25,837,817 outputs
Outputs from Genetics in Medicine
#1,185
of 2,961 outputs
Outputs of similar age
#62,585
of 354,573 outputs
Outputs of similar age from Genetics in Medicine
#20
of 47 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,961 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 59% 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 354,573 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 81% of its contemporaries.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.