The data shown below were collected from the profiles of 22 X users who shared this research output. Click here to find out more about how the information was compiled.
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| Title |
An actionable KCNH2 Long QT Syndrome variant detected by sequence and haplotype analysis in a population research cohort
|
|---|---|
| Published in |
Scientific Reports, July 2019
|
| DOI | 10.1038/s41598-019-47436-6 |
| Pubmed ID | |
| Authors |
Shona M. Kerr, Lucija Klaric, Mihail Halachev, Caroline Hayward, Thibaud S. Boutin, Alison M. Meynert, Colin A. Semple, Annukka M. Tuiskula, Heikki Swan, Javier Santoyo-Lopez, Veronique Vitart, Chris Haley, John Dean, Zosia Miedzybrodzka, Timothy J. Aitman, James F. Wilson |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 10 | 45% |
| Comoros | 1 | 5% |
| United States | 1 | 5% |
| Unknown | 10 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 19 | 86% |
| Scientists | 2 | 9% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 22% |
| Researcher | 6 | 22% |
| Student > Doctoral Student | 4 | 15% |
| Student > Ph. D. Student | 3 | 11% |
| Student > Bachelor | 2 | 7% |
| Other | 3 | 11% |
| Unknown | 3 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 12 | 44% |
| Medicine and Dentistry | 4 | 15% |
| Agricultural and Biological Sciences | 2 | 7% |
| Psychology | 1 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 5 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 30 March 2023.
All research outputs
#1,720,476
of 25,837,817 outputs
Outputs from Scientific Reports
#16,120
of 142,708 outputs
Outputs of similar age
#35,462
of 362,189 outputs
Outputs of similar age from Scientific Reports
#425
of 3,472 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 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 142,708 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.8. This one has done well, scoring higher than 88% 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 362,189 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 89% of its contemporaries.
We're also able to compare this research output to 3,472 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.