You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Defining the phenotype of FHF1 developmental and epileptic encephalopathy
|
|---|---|
| Published in |
Epilepsia, July 2020
|
| DOI | 10.1111/epi.16582 |
| Pubmed ID | |
| Authors |
Marina Trivisano, Alessandro Ferretti, Elizabeth Bebin, Linda Huh, Gaetan Lesca, Aleksandra Siekierska, Ryo Takeguchi, Maryline Carneiro, Luca De Palma, Ilaria Guella, Kazuhiro Haginoya, Ruo Ming Shi, Atsuo Kikuchi, Tomoko Kobayashi, Julien Jung, Lieven Lagae, Mathieu Milh, Marie L. Mathieu, Berge A. Minassian, Antonio Novelli, Nicola Pietrafusa, Eri Takeshita, Marco Tartaglia, Alessandra Terracciano, Michelle L. Thompson, Gregory M. Cooper, Federico Vigevano, Laurent Villard, Nathalie Villeneuve, Gunnar M. Buyse, Michelle Demos, Ingrid E. Scheffer, Nicola Specchio |
X Demographics
The data shown below were collected from the profiles of 7 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 | 2 | 29% |
| France | 1 | 14% |
| United Kingdom | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Scientists | 1 | 14% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 21% |
| Student > Master | 4 | 14% |
| Student > Ph. D. Student | 3 | 11% |
| Student > Doctoral Student | 2 | 7% |
| Other | 2 | 7% |
| Other | 4 | 14% |
| Unknown | 7 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 25% |
| Biochemistry, Genetics and Molecular Biology | 4 | 14% |
| Neuroscience | 3 | 11% |
| Nursing and Health Professions | 2 | 7% |
| Business, Management and Accounting | 1 | 4% |
| Other | 4 | 14% |
| Unknown | 7 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 25 February 2021.
All research outputs
#2,420,253
of 22,633,606 outputs
Outputs from Epilepsia
#855
of 5,327 outputs
Outputs of similar age
#67,313
of 394,372 outputs
Outputs of similar age from Epilepsia
#73
of 101 outputs
Altmetric has tracked 22,633,606 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,327 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one has done well, scoring higher than 83% 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 394,372 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 82% of its contemporaries.
We're also able to compare this research output to 101 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.