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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The clinical-phenotype continuum in DYNC1H1-related disorders—genomic profiling and proposal for a novel classification
|
|---|---|
| Published in |
Journal of Human Genetics, August 2020
|
| DOI | 10.1038/s10038-020-0803-1 |
| Pubmed ID | |
| Authors |
Lena-Luise Becker, Hormos Salimi Dafsari, Jens Schallner, Dalia Abdin, Michael Seifert, Florence Petit, Thomas Smol, Levinus Bok, Lance Rodan, Ingrid Krapels, Stephanie Spranger, Bernhard Weschke, Katherine Johnson, Volker Straub, Angela M. Kaindl, Nataliya Di Donato, Maja von der Hagen, Sebahattin Cirak |
X Demographics
The data shown below were collected from the profiles of 5 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 | 1 | 20% |
| Unknown | 4 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 58 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 16% |
| Student > Master | 5 | 9% |
| Researcher | 4 | 7% |
| Other | 4 | 7% |
| Student > Bachelor | 3 | 5% |
| Other | 10 | 17% |
| Unknown | 23 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 12 | 21% |
| Medicine and Dentistry | 10 | 17% |
| Neuroscience | 5 | 9% |
| Business, Management and Accounting | 1 | 2% |
| Linguistics | 1 | 2% |
| Other | 6 | 10% |
| Unknown | 23 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 28 March 2024.
All research outputs
#8,269,935
of 25,591,967 outputs
Outputs from Journal of Human Genetics
#680
of 1,815 outputs
Outputs of similar age
#170,549
of 426,625 outputs
Outputs of similar age from Journal of Human Genetics
#14
of 41 outputs
Altmetric has tracked 25,591,967 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 1,815 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one has gotten more attention than average, scoring higher than 62% 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 426,625 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.
We're also able to compare this research output to 41 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 68% of its contemporaries.