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Closing the case of APOE in multiple sclerosis: no association with disease risk in over 29 000 subjects

Overview of attention for article published in Journal of Medical Genetics, September 2012
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#15 of 2,969)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

blogs
1 blog
twitter
77 X users

Citations

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28 Dimensions

Readers on

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51 Mendeley
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Title
Closing the case of APOE in multiple sclerosis: no association with disease risk in over 29 000 subjects
Published in
Journal of Medical Genetics, September 2012
DOI 10.1136/jmedgenet-2012-101175
Pubmed ID
Authors

Christina M Lill, Tian Liu, Brit-Maren M Schjeide, Johannes T Roehr, Denis A Akkad, Vincent Damotte, Antonio Alcina, Miguel A Ortiz, Rafa Arroyo, Aitzkoa Lopez de Lapuente, Paul Blaschke, Alexander Winkelmann, Lisa-Ann Gerdes, Felix Luessi, Oscar Fernadez, Guillermo Izquierdo, Alfredo Antigüedad, Sabine Hoffjan, Isabelle Cournu-Rebeix, Silvana Gromöller, Hans Faber, Maria Liebsch, Esther Meissner, Coralie Chanvillard, Emmanuel Touze, Fernando Pico, Philippe Corcia, Thomas Dörner, Elisabeth Steinhagen-Thiessen, Lars Baeckman, Hauke R Heekeren, Shu-Chen Li, Ulman Lindenberger, Andrew Chan, Hans-Peter Hartung, Orhan Aktas, Peter Lohse, Tania Kümpfel, Christian Kubisch, Joerg T Epplen, Uwe K Zettl, Bertrand Fontaine, Koen Vandenbroeck, Fuencisla Matesanz, Elena Urcelay, Lars Bertram, Frauke Zipp

Abstract

Single nucleotide polymorphisms (SNPs) rs429358 (ε4) and rs7412 (ε2), both invoking changes in the amino-acid sequence of the apolipoprotein E (APOE) gene, have previously been tested for association with multiple sclerosis (MS) risk. However, none of these studies was sufficiently powered to detect modest effect sizes at acceptable type-I error rates. As both SNPs are only imperfectly captured on commonly used microarray genotyping platforms, their evaluation in the context of genome-wide association studies has been hindered until recently.

X Demographics

X Demographics

The data shown below were collected from the profiles of 77 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 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 4%
Portugal 1 2%
Germany 1 2%
Unknown 47 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 16%
Professor 6 12%
Student > Bachelor 5 10%
Student > Master 5 10%
Student > Ph. D. Student 5 10%
Other 11 22%
Unknown 11 22%
Readers by discipline Count As %
Medicine and Dentistry 12 24%
Agricultural and Biological Sciences 10 20%
Neuroscience 7 14%
Biochemistry, Genetics and Molecular Biology 6 12%
Computer Science 1 2%
Other 2 4%
Unknown 13 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 74. 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 01 February 2021.
All research outputs
#512,174
of 23,509,253 outputs
Outputs from Journal of Medical Genetics
#15
of 2,969 outputs
Outputs of similar age
#2,611
of 169,719 outputs
Outputs of similar age from Journal of Medical Genetics
#2
of 31 outputs
Altmetric has tracked 23,509,253 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,969 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has done particularly well, scoring higher than 99% 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 169,719 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 98% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.