| Title |
Whole exome sequencing in 342 congenital cardiac left sided lesion cases reveals extensive genetic heterogeneity and complex inheritance patterns
|
|---|---|
| Published in |
Genome Medicine, October 2017
|
| DOI | 10.1186/s13073-017-0482-5 |
| Pubmed ID | |
| Authors |
Alexander H. Li, Neil A. Hanchard, Dieter Furthner, Susan Fernbach, Mahshid Azamian, Annarita Nicosia, Jill Rosenfeld, Donna Muzny, Lisa C. A. D’Alessandro, Shaine Morris, Shalini Jhangiani, Dhaval R. Parekh, Wayne J. Franklin, Mark Lewin, Jeffrey A. Towbin, Daniel J. Penny, Charles D. Fraser, James F. Martin, Christine Eng, James R. Lupski, Richard A. Gibbs, Eric Boerwinkle, John W. Belmont |
X Demographics
The data shown below were collected from the profiles of 16 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 | 31% |
| Spain | 2 | 13% |
| United Kingdom | 2 | 13% |
| Switzerland | 2 | 13% |
| Unknown | 5 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 56% |
| Scientists | 7 | 44% |
Mendeley readers
The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 82 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 12% |
| Student > Ph. D. Student | 9 | 11% |
| Student > Bachelor | 9 | 11% |
| Professor | 7 | 9% |
| Other | 7 | 9% |
| Other | 19 | 23% |
| Unknown | 21 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 23 | 28% |
| Medicine and Dentistry | 19 | 23% |
| Agricultural and Biological Sciences | 8 | 10% |
| Unspecified | 4 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 1% |
| Other | 3 | 4% |
| Unknown | 24 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 14 July 2018.
All research outputs
#4,259,644
of 26,017,215 outputs
Outputs from Genome Medicine
#844
of 1,612 outputs
Outputs of similar age
#71,175
of 344,493 outputs
Outputs of similar age from Genome Medicine
#18
of 29 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,612 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.7. This one is in the 47th percentile – i.e., 47% of its peers scored the same or lower than it.
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 344,493 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 78% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.