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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Data-Driven Phenotyping of Central Disorders of Hypersomnolence With Unsupervised Clustering
|
|---|---|
| Published in |
Neurology, April 2022
|
| DOI | 10.1212/wnl.0000000000200519 |
| Pubmed ID | |
| Authors |
Jari K. Gool, Zhongxing Zhang, Martijn S.S.L. Oei, Stephanie Mathias, Yves Dauvilliers, Geert Mayer, Giuseppe Plazzi, Rafael del Rio-Villegas, Joan Santamaria Cano, Karel Šonka, Markku Partinen, Sebastiaan Overeem, Rosa Peraita-Adrados, Raphael Heinzer, Antonio Martins da Silva, Birgit Högl, Aleksandra Wierzbicka, Anna Heidbreder, Eva Feketeova, Mauro Manconi, Jitka Bušková, Francesca Canellas, Claudio L. Bassetti, Lucie Barateau, Fabio Pizza, Markus H. Schmidt, Rolf Fronczek, Ramin Khatami, Gert Jan Lammers |
X Demographics
The data shown below were collected from the profiles of 21 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 7 | 33% |
| United States | 2 | 10% |
| Greece | 1 | 5% |
| United Kingdom | 1 | 5% |
| Myanmar | 1 | 5% |
| Unknown | 9 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 67% |
| Practitioners (doctors, other healthcare professionals) | 3 | 14% |
| Scientists | 3 | 14% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 39 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 13% |
| Student > Ph. D. Student | 4 | 10% |
| Student > Postgraduate | 4 | 10% |
| Student > Bachelor | 3 | 8% |
| Other | 2 | 5% |
| Other | 3 | 8% |
| Unknown | 18 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 13% |
| Neuroscience | 4 | 10% |
| Psychology | 3 | 8% |
| Biochemistry, Genetics and Molecular Biology | 2 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 5% |
| Other | 5 | 13% |
| Unknown | 18 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 30 September 2022.
All research outputs
#2,956,583
of 25,394,764 outputs
Outputs from Neurology
#5,451
of 21,017 outputs
Outputs of similar age
#65,145
of 446,344 outputs
Outputs of similar age from Neurology
#134
of 265 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 21,017 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.7. This one has gotten more attention than average, scoring higher than 74% 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 446,344 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 85% of its contemporaries.
We're also able to compare this research output to 265 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.