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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Defining and expanding the phenotype of QARS-associated developmental epileptic encephalopathy
|
|---|---|
| Published in |
Neurology: Genetics, December 2019
|
| DOI | 10.1212/nxg.0000000000000373 |
| Pubmed ID | |
| Authors |
Katrine M Johannesen, Diana Mitter, Robert Janowski, Christian Roth, Joseph Toulouse, Anne-Lise Poulat, Dorothee M Ville, Nicolas Chatron, Eva Brilstra, Karin Geleijns, Alfred Peter Born, Scott McLean, Kimberly Nugent, Gareth Baynam, Cathryn Poulton, Lauren Dreyer, Dylan Gration, Solveig Schulz, Andrea Dieckmann, Katherine L Helbig, Andreas Merkenschlager, Rami Jamra, Anja Finck, Elena Gardella, Helle Hjalgrim, Ghayda Mirzaa, Francesco Brancati, Tatjana Bierhals, Jonas Denecke, Maja Hempel, Johannes R Lemke, Guido Rubboli, Petra Muschke, Renzo Guerrini, Annalisa Vetro, Dierk Niessing, Gaetan Lesca, Rikke S Møller |
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 % |
|---|---|---|
| India | 1 | 20% |
| Spain | 1 | 20% |
| Brazil | 1 | 20% |
| United States | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 13% |
| Student > Postgraduate | 4 | 9% |
| Professor > Associate Professor | 4 | 9% |
| Student > Master | 4 | 9% |
| Student > Ph. D. Student | 3 | 7% |
| Other | 11 | 24% |
| Unknown | 13 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 36% |
| Neuroscience | 4 | 9% |
| Unspecified | 2 | 4% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Social Sciences | 2 | 4% |
| Other | 3 | 7% |
| Unknown | 16 | 36% |
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 15 February 2020.
All research outputs
#14,741,795
of 25,604,262 outputs
Outputs from Neurology: Genetics
#558
of 706 outputs
Outputs of similar age
#233,641
of 479,068 outputs
Outputs of similar age from Neurology: Genetics
#23
of 26 outputs
Altmetric has tracked 25,604,262 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 706 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one is in the 18th percentile – i.e., 18% of its peers scored the same or lower than it.
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 479,068 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 50% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.