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Defining the electroclinical phenotype and outcome of PCDH19-related epilepsy: A multicenter study

Overview of attention for article published in Epilepsia (Series 4), November 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (60th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
6 tweeters

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
39 Mendeley
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Title
Defining the electroclinical phenotype and outcome of PCDH19-related epilepsy: A multicenter study
Published in
Epilepsia (Series 4), 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

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.

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 %
Student > Master 6 15%
Researcher 6 15%
Student > Postgraduate 5 13%
Student > Bachelor 4 10%
Student > Doctoral Student 3 8%
Other 9 23%
Unknown 6 15%
Readers by discipline Count As %
Medicine and Dentistry 12 31%
Neuroscience 9 23%
Nursing and Health Professions 3 8%
Psychology 3 8%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 2 5%
Unknown 9 23%

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 27 November 2018.
All research outputs
#4,194,764
of 13,935,576 outputs
Outputs from Epilepsia (Series 4)
#1,514
of 3,961 outputs
Outputs of similar age
#141,492
of 367,296 outputs
Outputs of similar age from Epilepsia (Series 4)
#35
of 57 outputs
Altmetric has tracked 13,935,576 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,961 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. This one is in the 37th percentile – i.e., 37% 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 367,296 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 60% of its contemporaries.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.