| Title |
Computational analysis of 10,860 phenotypic annotations in individuals with SCN2A-related disorders
|
|---|---|
| Published in |
Genetics in Medicine, March 2021
|
| DOI | 10.1038/s41436-021-01120-1 |
| Pubmed ID | |
| Authors |
Katherine Crawford, Julie Xian, Katherine L. Helbig, Peter D. Galer, Shridhar Parthasarathy, David Lewis-Smith, Michael C. Kaufman, Eryn Fitch, Shiva Ganesan, Margaret O’Brien, Veronica Codoni, Colin A. Ellis, Laura J. Conway, Deanne Taylor, Roland Krause, Ingo Helbig |
X Demographics
The data shown below were collected from the profiles of 40 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 | 11 | 28% |
| France | 3 | 8% |
| United Kingdom | 3 | 8% |
| Canada | 2 | 5% |
| Denmark | 2 | 5% |
| Australia | 2 | 5% |
| Germany | 2 | 5% |
| South Africa | 1 | 3% |
| Luxembourg | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 12 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 26 | 65% |
| Scientists | 11 | 28% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
| Unknown | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 42 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 21% |
| Student > Ph. D. Student | 6 | 14% |
| Student > Bachelor | 4 | 10% |
| Other | 3 | 7% |
| Professor | 2 | 5% |
| Other | 6 | 14% |
| Unknown | 12 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 9 | 21% |
| Biochemistry, Genetics and Molecular Biology | 8 | 19% |
| Medicine and Dentistry | 6 | 14% |
| Agricultural and Biological Sciences | 2 | 5% |
| Unspecified | 2 | 5% |
| Other | 3 | 7% |
| Unknown | 12 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 104. 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 29 May 2023.
All research outputs
#407,007
of 25,387,668 outputs
Outputs from Genetics in Medicine
#85
of 2,945 outputs
Outputs of similar age
#12,452
of 466,798 outputs
Outputs of similar age from Genetics in Medicine
#4
of 70 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,945 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.0. This one has done particularly well, scoring higher than 97% 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 466,798 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 97% of its contemporaries.
We're also able to compare this research output to 70 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.