| Title |
Long-term economic impacts of exome sequencing for suspected monogenic disorders: diagnosis, management, and reproductive outcomes
|
|---|---|
| Published in |
Genetics in Medicine, May 2019
|
| DOI | 10.1038/s41436-019-0534-x |
| Pubmed ID | |
| Authors |
Deborah Schofield, Luke Rynehart, Rupendra Shresthra, Susan M. White, Zornitza Stark |
X Demographics
The data shown below were collected from the profiles of 49 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 15 | 31% |
| United States | 8 | 16% |
| United Kingdom | 5 | 10% |
| Spain | 2 | 4% |
| India | 1 | 2% |
| Germany | 1 | 2% |
| Argentina | 1 | 2% |
| Israel | 1 | 2% |
| Mexico | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 14 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 23 | 47% |
| Scientists | 21 | 43% |
| Practitioners (doctors, other healthcare professionals) | 4 | 8% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 68 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 16% |
| Other | 8 | 12% |
| Student > Master | 7 | 10% |
| Student > Ph. D. Student | 6 | 9% |
| Student > Bachelor | 5 | 7% |
| Other | 13 | 19% |
| Unknown | 18 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 18 | 26% |
| Medicine and Dentistry | 15 | 22% |
| Economics, Econometrics and Finance | 5 | 7% |
| Agricultural and Biological Sciences | 3 | 4% |
| Psychology | 2 | 3% |
| Other | 7 | 10% |
| Unknown | 18 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 32. 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 09 June 2021.
All research outputs
#1,275,862
of 25,837,817 outputs
Outputs from Genetics in Medicine
#400
of 2,961 outputs
Outputs of similar age
#27,872
of 366,562 outputs
Outputs of similar age from Genetics in Medicine
#14
of 76 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% 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 done well, scoring higher than 86% 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 366,562 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 92% of its contemporaries.
We're also able to compare this research output to 76 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.