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Clinical, Biomarker, and Molecular Delineations and Genotype-Phenotype Correlations of Ataxia With Oculomotor Apraxia Type 1

Overview of attention for article published in JAMA Neurology, April 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)

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Title
Clinical, Biomarker, and Molecular Delineations and Genotype-Phenotype Correlations of Ataxia With Oculomotor Apraxia Type 1
Published in
JAMA Neurology, April 2018
DOI 10.1001/jamaneurol.2017.4373
Pubmed ID
Authors

Mathilde Renaud, Maria-Céu Moreira, Bondo Ben Monga, Diana Rodriguez, Rabab Debs, Perrine Charles, Malika Chaouch, Farida Ferrat, Chloé Laurencin, Laurent Vercueil, Martial Mallaret, Abderrahim M’Zahem, Lamia Ali Pacha, Meriem Tazir, Caroline Tilikete, Elisabeth Ollagnon, François Ochsner, Thierry Kuntzer, Hans H. Jung, Jean-Marie Beis, Jean-Claude Netter, Atbin Djamshidian, Mattew Bower, Armand Bottani, Richard Walsh, Sinead Murphy, Thomas Reiley, Éric Bieth, Filip Roelens, Bwee Tien Poll-The, Charles Marques Lourenço, Laura Bannach Jardim, Rachel Straussberg, Pierre Landrieu, Emmanuel Roze, Stéphane Thobois, Jean Pouget, Claire Guissart, Cyril Goizet, Alexandra Dürr, Christine Tranchant, Michel Koenig, Mathieu Anheim

Abstract

Ataxia with oculomotor apraxia type 1 (AOA1) is an autosomal recessive cerebellar ataxia due to mutations in the aprataxin gene (APTX) that is characterized by early-onset cerebellar ataxia, oculomotor apraxia, axonal motor neuropathy, and eventual decrease of albumin serum levels. To improve the clinical, biomarker, and molecular delineation of AOA1 and provide genotype-phenotype correlations. This retrospective analysis included the clinical, biological (especially regarding biomarkers of the disease), electrophysiologic, imaging, and molecular data of all patients consecutively diagnosed with AOA1 in a single genetics laboratory from January 1, 2002, through December 31, 2014. Data were analyzed from January 1, 2015, through January 31, 2016. The clinical, biological, and molecular spectrum of AOA1 and genotype-phenotype correlations. The diagnosis of AOA1 was confirmed in 80 patients (46 men [58%] and 34 women [42%]; mean [SD] age at onset, 7.7 [7.4] years) from 51 families, including 57 new (with 8 new mutations) and 23 previously described patients. Elevated levels of α-fetoprotein (AFP) were found in 33 patients (41%); hypoalbuminemia, in 50 (63%). Median AFP level was higher in patients with AOA1 (6.0 ng/mL; range, 1.1-17.0 ng/mL) than in patients without ataxia (3.4 ng/mL; range, 0.8-17.2 ng/mL; P < .01). Decreased albumin levels (ρ = -0.532) and elevated AFP levels (ρ = 0.637) were correlated with disease duration. The p.Trp279* mutation, initially reported as restricted to the Portuguese founder haplotype, was discovered in 53 patients with AOA1 (66%) with broad white racial origins. Oculomotor apraxia was found in 49 patients (61%); polyneuropathy, in 74 (93%); and cerebellar atrophy, in 78 (98%). Oculomotor apraxia correlated with the severity of ataxia and mutation type, being more frequent with deletion or truncating mutations (83%) than with presence of at least 1 missense variant (17%; P < .01). Mean (SD) age at onset was higher for patients with at least 1 missense mutation (17.7 [11.4] vs 5.2 [2.6] years; P < .001). The AFP level, slightly elevated in a substantial fraction of patients, may constitute a new biomarker for AOA1. Oculomotor apraxia may be an optional finding in AOA1 and correlates with more severe disease. The p.Trp279* mutation is the most frequent APTX mutation in the white population. APTX missense mutations may be associated with a milder phenotype.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 64 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 13%
Researcher 8 13%
Student > Postgraduate 8 13%
Student > Master 7 11%
Other 6 9%
Other 10 16%
Unknown 17 27%
Readers by discipline Count As %
Medicine and Dentistry 20 31%
Neuroscience 8 13%
Biochemistry, Genetics and Molecular Biology 4 6%
Computer Science 2 3%
Social Sciences 2 3%
Other 9 14%
Unknown 19 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 August 2020.
All research outputs
#3,690,424
of 25,382,440 outputs
Outputs from JAMA Neurology
#2,488
of 5,847 outputs
Outputs of similar age
#72,119
of 343,807 outputs
Outputs of similar age from JAMA Neurology
#54
of 64 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,847 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.2. This one has gotten more attention than average, scoring higher than 57% 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 343,807 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 78% of its contemporaries.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.