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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Hierarchical Bayesian modelling of disease progression to inform clinical trial design in centronuclear myopathy
|
|---|---|
| Published in |
Orphanet Journal of Rare Diseases, January 2021
|
| DOI | 10.1186/s13023-020-01663-7 |
| Pubmed ID | |
| Authors |
Eve Fouarge, Arnaud Monseur, Bruno Boulanger, Mélanie Annoussamy, Andreea M. Seferian, Silvana De Lucia, Charlotte Lilien, Leen Thielemans, Khazal Paradis, Belinda S. Cowling, Chris Freitag, Bradley P. Carlin, Laurent Servais |
X Demographics
The data shown below were collected from the profiles of 4 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 | 3 | 75% |
| France | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 16% |
| Researcher | 2 | 11% |
| Student > Master | 2 | 11% |
| Professor | 1 | 5% |
| Other | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 9 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 16% |
| Mathematics | 2 | 11% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 11% |
| Medicine and Dentistry | 2 | 11% |
| Agricultural and Biological Sciences | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 8 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 18 February 2022.
All research outputs
#13,190,839
of 23,599,923 outputs
Outputs from Orphanet Journal of Rare Diseases
#1,281
of 2,724 outputs
Outputs of similar age
#220,881
of 505,264 outputs
Outputs of similar age from Orphanet Journal of Rare Diseases
#26
of 69 outputs
Altmetric has tracked 23,599,923 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,724 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has gotten more attention than average, scoring higher than 52% 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 505,264 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 55% of its contemporaries.
We're also able to compare this research output to 69 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 63% of its contemporaries.