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X Demographics
Mendeley readers
Attention Score in Context
Title |
Defining the electroclinical phenotype and outcome of PCDH19‐related epilepsy: A multicenter study
|
---|---|
Published in |
Epilepsia, November 2018
|
DOI | 10.1111/epi.14600 |
Pubmed ID | |
Authors |
Marina Trivisano, Nicola Pietrafusa, Alessandra Terracciano, Carla Marini, Davide Mei, Francesca Darra, Patrizia Accorsi, Domenica Battaglia, Lorella Caffi, Maria P. Canevini, Simona Cappelletti, Elisabetta Cesaroni, Luca de Palma, Paola Costa, Raffaella Cusmai, Lucio Giordano, Annarita Ferrari, Elena Freri, Lucia Fusco, Tiziana Granata, Tommaso Martino, Massimo Mastrangelo, Stefania M. Bova, Lucio Parmeggiani, Francesca Ragona, Federico Sicca, Pasquale Striano, Luigi M. Specchio, Ilaria Tondo, Elena Zambrelli, Nelia Zamponi, Caterina Zanus, Clementina Boniver, Marilena Vecchi, Carlo Avolio, Bernardo Dalla Bernardina, Enrico Bertini, Renzo Guerrini, Federico Vigevano, Nicola Specchio |
X Demographics
The data shown below were collected from the profiles of 6 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 | 1 | 17% |
United Kingdom | 1 | 17% |
Canada | 1 | 17% |
France | 1 | 17% |
Unknown | 2 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 50% |
Scientists | 2 | 33% |
Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 98 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 12 | 12% |
Student > Master | 12 | 12% |
Student > Postgraduate | 11 | 11% |
Student > Bachelor | 11 | 11% |
Student > Doctoral Student | 8 | 8% |
Other | 21 | 21% |
Unknown | 23 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 24 | 24% |
Neuroscience | 21 | 21% |
Psychology | 9 | 9% |
Nursing and Health Professions | 7 | 7% |
Biochemistry, Genetics and Molecular Biology | 5 | 5% |
Other | 7 | 7% |
Unknown | 25 | 26% |
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 27 November 2018.
All research outputs
#7,891,969
of 24,451,065 outputs
Outputs from Epilepsia
#2,811
of 5,688 outputs
Outputs of similar age
#153,881
of 446,428 outputs
Outputs of similar age from Epilepsia
#40
of 64 outputs
Altmetric has tracked 24,451,065 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 5,688 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.4. This one is in the 49th percentile – i.e., 49% 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 446,428 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 64% of its contemporaries.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.