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Deep-intronic ABCA4 variants explain missing heritability in Stargardt disease and allow correction of splice defects by antisense oligonucleotides

Overview of attention for article published in Genetics in Medicine, January 2019
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

news
1 news outlet
twitter
42 X users
patent
1 patent
facebook
2 Facebook pages

Citations

dimensions_citation
150 Dimensions

Readers on

mendeley
118 Mendeley
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Title
Deep-intronic ABCA4 variants explain missing heritability in Stargardt disease and allow correction of splice defects by antisense oligonucleotides
Published in
Genetics in Medicine, January 2019
DOI 10.1038/s41436-018-0414-9
Pubmed ID
Authors

Riccardo Sangermano, Alejandro Garanto, Mubeen Khan, Esmee H. Runhart, Miriam Bauwens, Nathalie M. Bax, L. Ingeborgh van den Born, Muhammad Imran Khan, Stéphanie S. Cornelis, Joke B. G. M. Verheij, Jan-Willem R. Pott, Alberta A. H. J. Thiadens, Caroline C. W. Klaver, Bernard Puech, Isabelle Meunier, Sarah Naessens, Gavin Arno, Ana Fakin, Keren J. Carss, F. Lucy Raymond, Andrew R. Webster, Claire-Marie Dhaenens, Heidi Stöhr, Felix Grassmann, Bernhard H. F. Weber, Carel B. Hoyng, Elfride De Baere, Silvia Albert, Rob W. J. Collin, Frans P. M. Cremers

X Demographics

X Demographics

The data shown below were collected from the profiles of 42 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 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 118 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 19%
Researcher 16 14%
Student > Bachelor 14 12%
Student > Master 12 10%
Student > Postgraduate 6 5%
Other 13 11%
Unknown 35 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 41 35%
Medicine and Dentistry 20 17%
Agricultural and Biological Sciences 13 11%
Philosophy 1 <1%
Business, Management and Accounting 1 <1%
Other 6 5%
Unknown 36 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 40. 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 February 2022.
All research outputs
#1,012,861
of 25,385,509 outputs
Outputs from Genetics in Medicine
#299
of 2,945 outputs
Outputs of similar age
#24,563
of 463,657 outputs
Outputs of similar age from Genetics in Medicine
#10
of 69 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,945 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.0. This one has done well, scoring higher than 89% 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 463,657 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 69 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.