| Title |
Prioritization of genes driving congenital phenotypes of patients with de novo genomic structural variants
|
|---|---|
| Published in |
Genome Medicine, December 2019
|
| DOI | 10.1186/s13073-019-0692-0 |
| Pubmed ID | |
| Authors |
Sjors Middelkamp, Judith M. Vlaar, Jacques Giltay, Jerome Korzelius, Nicolle Besselink, Sander Boymans, Roel Janssen, Lisanne de la Fonteijne, Ellen van Binsbergen, Markus J. van Roosmalen, Ron Hochstenbach, Daniela Giachino, Michael E. Talkowski, Wigard P. Kloosterman, Edwin Cuppen |
X Demographics
The data shown below were collected from the profiles of 15 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 Kingdom | 4 | 27% |
| United States | 2 | 13% |
| Argentina | 2 | 13% |
| Hong Kong | 1 | 7% |
| Ireland | 1 | 7% |
| Israel | 1 | 7% |
| Unknown | 4 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 47% |
| Scientists | 6 | 40% |
| Practitioners (doctors, other healthcare professionals) | 2 | 13% |
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 | 15 | 25% |
| Student > Ph. D. Student | 12 | 20% |
| Student > Master | 8 | 13% |
| Student > Bachelor | 4 | 7% |
| Student > Postgraduate | 3 | 5% |
| Other | 6 | 10% |
| Unknown | 12 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 29 | 48% |
| Medicine and Dentistry | 7 | 12% |
| Agricultural and Biological Sciences | 5 | 8% |
| Computer Science | 3 | 5% |
| Immunology and Microbiology | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 14 | 23% |
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 03 May 2020.
All research outputs
#3,967,809
of 24,597,084 outputs
Outputs from Genome Medicine
#803
of 1,517 outputs
Outputs of similar age
#86,911
of 469,529 outputs
Outputs of similar age from Genome Medicine
#27
of 36 outputs
Altmetric has tracked 24,597,084 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 1,517 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.2. This one is in the 46th percentile – i.e., 46% 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 469,529 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 81% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.