↓ Skip to main content

Identification of GAA variants through whole exome sequencing targeted to a cohort of 606 patients with unexplained limb-girdle muscle weakness

Overview of attention for article published in Orphanet Journal of Rare Diseases, November 2017
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 (75th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

policy
1 policy source
twitter
4 X users

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
58 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
Identification of GAA variants through whole exome sequencing targeted to a cohort of 606 patients with unexplained limb-girdle muscle weakness
Published in
Orphanet Journal of Rare Diseases, November 2017
DOI 10.1186/s13023-017-0722-1
Pubmed ID
Authors

Katherine Johnson, Ana Töpf, Marta Bertoli, Lauren Phillips, Kristl G. Claeys, Vidosava Rakocevic Stojanovic, Stojan Perić, Andreas Hahn, Paul Maddison, Ela Akay, Alexandra E. Bastian, Anna Łusakowska, Anna Kostera-Pruszczyk, Monkol Lek, Liwen Xu, Daniel G. MacArthur, Volker Straub

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 17%
Student > Master 8 14%
Student > Bachelor 5 9%
Other 4 7%
Student > Postgraduate 4 7%
Other 7 12%
Unknown 20 34%
Readers by discipline Count As %
Medicine and Dentistry 15 26%
Biochemistry, Genetics and Molecular Biology 8 14%
Neuroscience 4 7%
Nursing and Health Professions 2 3%
Agricultural and Biological Sciences 2 3%
Other 8 14%
Unknown 19 33%
Attention Score in Context

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 22 October 2019.
All research outputs
#5,611,796
of 25,837,817 outputs
Outputs from Orphanet Journal of Rare Diseases
#786
of 3,175 outputs
Outputs of similar age
#105,178
of 443,371 outputs
Outputs of similar age from Orphanet Journal of Rare Diseases
#11
of 24 outputs
Altmetric has tracked 25,837,817 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 3,175 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 74% 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 443,371 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 24 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 54% of its contemporaries.