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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, November 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
6 X users

Citations

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45 Dimensions

Readers on

mendeley
99 Mendeley
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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

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 99 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 13%
Researcher 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 23 23%
Neuroscience 22 22%
Psychology 9 9%
Nursing and Health Professions 7 7%
Biochemistry, Genetics and Molecular Biology 5 5%
Other 8 8%
Unknown 25 25%
Attention Score in Context

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.