Title |
From cytogenetics to cytogenomics: whole-genome sequencing as a first-line test comprehensively captures the diverse spectrum of disease-causing genetic variation underlying intellectual disability
|
---|---|
Published in |
Genome Medicine, November 2019
|
DOI | 10.1186/s13073-019-0675-1 |
Pubmed ID | |
Authors |
Anna Lindstrand, Jesper Eisfeldt, Maria Pettersson, Claudia M. B. Carvalho, Malin Kvarnung, Giedre Grigelioniene, Britt-Marie Anderlid, Olof Bjerin, Peter Gustavsson, Anna Hammarsjö, Patrik Georgii-Hemming, Erik Iwarsson, Maria Johansson-Soller, Kristina Lagerstedt-Robinson, Agne Lieden, Måns Magnusson, Marcel Martin, Helena Malmgren, Magnus Nordenskjöld, Ameli Norling, Ellika Sahlin, Henrik Stranneheim, Emma Tham, Josephine Wincent, Sofia Ygberg, Anna Wedell, Valtteri Wirta, Ann Nordgren, Johanna Lundin, Daniel Nilsson |
X Demographics
The data shown below were collected from the profiles of 24 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 | 7 | 29% |
United Kingdom | 4 | 17% |
Israel | 1 | 4% |
Australia | 1 | 4% |
Netherlands | 1 | 4% |
Italy | 1 | 4% |
Canada | 1 | 4% |
Spain | 1 | 4% |
Unknown | 7 | 29% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 16 | 67% |
Practitioners (doctors, other healthcare professionals) | 4 | 17% |
Members of the public | 3 | 13% |
Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 142 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 142 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 19 | 13% |
Student > Ph. D. Student | 17 | 12% |
Student > Master | 15 | 11% |
Other | 13 | 9% |
Student > Bachelor | 12 | 8% |
Other | 24 | 17% |
Unknown | 42 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 52 | 37% |
Medicine and Dentistry | 15 | 11% |
Agricultural and Biological Sciences | 12 | 8% |
Neuroscience | 3 | 2% |
Social Sciences | 3 | 2% |
Other | 8 | 6% |
Unknown | 49 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 34. 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 27 March 2020.
All research outputs
#1,162,260
of 25,165,468 outputs
Outputs from Genome Medicine
#235
of 1,554 outputs
Outputs of similar age
#25,655
of 373,903 outputs
Outputs of similar age from Genome Medicine
#9
of 27 outputs
Altmetric has tracked 25,165,468 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,554 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.1. This one has done well, scoring higher than 84% 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 373,903 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 93% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.