You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Targeted sequence capture and GS-FLX Titanium sequencing of 23 hypertrophic and dilated cardiomyopathy genes: implementation into diagnostics
|
|---|---|
| Published in |
Journal of Medical Genetics, June 2013
|
| DOI | 10.1136/jmedgenet-2012-101231 |
| Pubmed ID | |
| Authors |
Olaf R F Mook, Martin A Haagmans, Jean-François Soucy, Judith B A van de Meerakker, Frank Baas, Marja E Jakobs, Nynke Hofman, Imke Christiaans, Ronald H Lekanne Deprez, Marcel M A M Mannens |
| Abstract |
Genetic evaluation of cardiomyopathies poses a challenge. Multiple genes are involved but no clear genotype-phenotype correlations have been found so far. In the past, genetic evaluation for hypertrophic (HCM) and dilated (DCM) cardiomyopathies was performed by sequential screening of a very limited number of genes. Recent developments in sequencing have increased the throughput, enabling simultaneous screening of multiple genes for multiple patients in a single sequencing run. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Korea, Republic of | 1 | 2% |
| Unknown | 44 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 30% |
| Student > Ph. D. Student | 5 | 11% |
| Student > Bachelor | 5 | 11% |
| Student > Master | 4 | 9% |
| Lecturer | 3 | 7% |
| Other | 10 | 22% |
| Unknown | 5 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 28% |
| Biochemistry, Genetics and Molecular Biology | 12 | 26% |
| Agricultural and Biological Sciences | 10 | 22% |
| Energy | 1 | 2% |
| Unknown | 10 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 February 2018.
All research outputs
#4,496,074
of 22,712,476 outputs
Outputs from Journal of Medical Genetics
#949
of 2,913 outputs
Outputs of similar age
#38,827
of 196,823 outputs
Outputs of similar age from Journal of Medical Genetics
#18
of 32 outputs
Altmetric has tracked 22,712,476 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,913 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has gotten more attention than average, scoring higher than 67% 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 196,823 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 80% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.