| Title |
Sequencing as a first-line methodology for cystic fibrosis carrier screening
|
|---|---|
| Published in |
Genetics in Medicine, April 2019
|
| DOI | 10.1038/s41436-019-0525-y |
| Pubmed ID | |
| Authors |
Kyle A. Beauchamp, Katherine A. Johansen Taber, Peter V. Grauman, Lindsay Spurka, Jeraldine Lim-Harashima, Ashley Svenson, James D. Goldberg, Dale Muzzey |
X Demographics
The data shown below were collected from the profiles of 36 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 | 13 | 36% |
| Australia | 3 | 8% |
| Finland | 2 | 6% |
| United Kingdom | 2 | 6% |
| Mexico | 1 | 3% |
| Taiwan | 1 | 3% |
| France | 1 | 3% |
| Israel | 1 | 3% |
| Spain | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 11 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 18 | 50% |
| Scientists | 13 | 36% |
| Practitioners (doctors, other healthcare professionals) | 3 | 8% |
| Science communicators (journalists, bloggers, editors) | 2 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 60 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 17% |
| Student > Master | 9 | 15% |
| Student > Bachelor | 8 | 13% |
| Student > Ph. D. Student | 4 | 7% |
| Student > Doctoral Student | 2 | 3% |
| Other | 2 | 3% |
| Unknown | 25 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 14 | 23% |
| Medicine and Dentistry | 8 | 13% |
| Agricultural and Biological Sciences | 6 | 10% |
| Psychology | 3 | 5% |
| Chemistry | 2 | 3% |
| Other | 4 | 7% |
| Unknown | 23 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 297. 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 08 November 2021.
All research outputs
#117,136
of 25,385,509 outputs
Outputs from Genetics in Medicine
#18
of 2,945 outputs
Outputs of similar age
#2,286
of 363,130 outputs
Outputs of similar age from Genetics in Medicine
#1
of 81 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% 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 has done particularly well, scoring higher than 99% 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 363,130 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 99% of its contemporaries.
We're also able to compare this research output to 81 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 98% of its contemporaries.