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Delineating FOXG1 syndrome

Overview of attention for article published in Neurology: Genetics, November 2018
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

twitter
11 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
32 Mendeley
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Title
Delineating FOXG1 syndrome
Published in
Neurology: Genetics, November 2018
DOI 10.1212/nxg.0000000000000281
Pubmed ID
Authors

Nancy Vegas, Mara Cavallin, Camille Maillard, Nathalie Boddaert, Joseph Toulouse, Elise Schaefer, Tally Lerman-Sagie, Dorit Lev, Barth Magalie, Sébastien Moutton, Eric Haan, Bertrand Isidor, Delphine Heron, Mathieu Milh, Stéphane Rondeau, Caroline Michot, Stephanie Valence, Sabrina Wagner, Marie Hully, Cyril Mignot, Alice Masurel, Alexandre Datta, Sylvie Odent, Mathilde Nizon, Leila Lazaro, Marie Vincent, Benjamin Cogné, Anne Marie Guerrot, Stéphanie Arpin, Jean Michel Pedespan, Isabelle Caubel, Benedicte Pontier, Baptiste Troude, Francois Rivier, Christophe Philippe, Thierry Bienvenu, Marie-Aude Spitz, Amandine Bery, Nadia Bahi-Buisson

Twitter Demographics

The data shown below were collected from the profiles of 11 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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 19%
Student > Doctoral Student 4 13%
Student > Bachelor 3 9%
Researcher 3 9%
Student > Master 3 9%
Other 6 19%
Unknown 7 22%
Readers by discipline Count As %
Medicine and Dentistry 8 25%
Neuroscience 4 13%
Agricultural and Biological Sciences 4 13%
Biochemistry, Genetics and Molecular Biology 3 9%
Psychology 1 3%
Other 4 13%
Unknown 8 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 10 January 2019.
All research outputs
#3,809,791
of 15,226,868 outputs
Outputs from Neurology: Genetics
#184
of 384 outputs
Outputs of similar age
#103,150
of 318,746 outputs
Outputs of similar age from Neurology: Genetics
#12
of 27 outputs
Altmetric has tracked 15,226,868 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 384 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has gotten more attention than average, scoring higher than 50% 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 318,746 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 67% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.