↓ Skip to main content

Broad phenotypic spectrum and genotype-phenotype correlations in GMPPB-related dystroglycanopathies: an Italian cross-sectional study

Overview of attention for article published in Orphanet Journal of Rare Diseases, September 2018
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (70th percentile)

Mentioned by

twitter
7 tweeters

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
48 Mendeley
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.
Title
Broad phenotypic spectrum and genotype-phenotype correlations in GMPPB-related dystroglycanopathies: an Italian cross-sectional study
Published in
Orphanet Journal of Rare Diseases, September 2018
DOI 10.1186/s13023-018-0863-x
Pubmed ID
Authors

Guja Astrea, Alessandro Romano, Corrado Angelini, Carlo Giuseppe Antozzi, Rita Barresi, Roberta Battini, Carla Battisti, Enrico Bertini, Claudio Bruno, Denise Cassandrini, Marina Fanin, Fabiana Fattori, Chiara Fiorillo, Renzo Guerrini, Lorenzo Maggi, Eugenio Mercuri, Federica Morani, Marina Mora, Francesca Moro, Ilaria Pezzini, Esther Picillo, Michele Pinelli, Luisa Politano, Anna Rubegni, Walter Sanseverino, Marco Savarese, Pasquale Striano, Annalaura Torella, Carlo Pietro Trevisan, Rosanna Trovato, Irina Zaraieva, Francesco Muntoni, Vincenzo Nigro, Adele D’Amico, Filippo M. Santorelli

Twitter Demographics

The data shown below were collected from the profiles of 7 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 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 19%
Student > Master 6 13%
Student > Bachelor 6 13%
Student > Doctoral Student 5 10%
Student > Ph. D. Student 5 10%
Other 7 15%
Unknown 10 21%
Readers by discipline Count As %
Medicine and Dentistry 10 21%
Neuroscience 6 13%
Biochemistry, Genetics and Molecular Biology 5 10%
Nursing and Health Professions 5 10%
Psychology 4 8%
Other 8 17%
Unknown 10 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 12 November 2018.
All research outputs
#4,532,751
of 18,668,680 outputs
Outputs from Orphanet Journal of Rare Diseases
#523
of 1,996 outputs
Outputs of similar age
#84,042
of 287,862 outputs
Outputs of similar age from Orphanet Journal of Rare Diseases
#2
of 2 outputs
Altmetric has tracked 18,668,680 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,996 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has gotten more attention than average, scoring higher than 73% 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 287,862 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 70% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.