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ALS and MMN mimics in patients with BSCL2 mutations: the expanding clinical spectrum of SPG17 hereditary spastic paraplegia

Overview of attention for article published in Journal of Neurology, October 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

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1 news outlet
twitter
1 X user
facebook
3 Facebook pages

Citations

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17 Dimensions

Readers on

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39 Mendeley
citeulike
1 CiteULike
Title
ALS and MMN mimics in patients with BSCL2 mutations: the expanding clinical spectrum of SPG17 hereditary spastic paraplegia
Published in
Journal of Neurology, October 2016
DOI 10.1007/s00415-016-8301-2
Pubmed ID
Authors

Thomas Musacchio, Ann-Kathrin Zaum, Nurcan Üçeyler, Claudia Sommer, Nora Pfeifroth, Karlheinz Reiners, Erdmute Kunstmann, Jens Volkmann, Simone Rost, Stephan Klebe

Abstract

Silver syndrome/SPG17 is a motor manifestation of mutations in the BSCL2 gene and usually presents as a complicated form of hereditary spastic paraplegia (HSP). We present clinical data, follow-up, and genetic results of seven patients with Silver syndrome/SPG17 including a family with a variable intrafamilial phenotype ranging from subclinical signs to a severe and rapidly progressing amyotrophic lateral sclerosis (ALS)-like phenotype. For molecular diagnosis of the family, we used the TruSight Exome sequencing panel consisting of 2761 genes. We filtered for variants common to affected family members and for exclusive variants in the ALS-like index patient to find possible modifier mutations. We found that de novo mutations and/or incomplete penetrance in BSCL2 has been taken into account for Silver syndrome/SPG17 and confirm the large phenotypical heterogeneity of BSCL2 mutations. Our findings broaden the reported spectrum of the disease to an ALS-like and multifocal motor neuropathy phenotype and underline the need for further research for genetic modifiers due to the striking interindividual and intrafamilial variability.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Other 7 18%
Student > Ph. D. Student 5 13%
Student > Bachelor 4 10%
Student > Doctoral Student 3 8%
Researcher 3 8%
Other 9 23%
Unknown 8 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 26%
Medicine and Dentistry 10 26%
Psychology 2 5%
Neuroscience 2 5%
Social Sciences 1 3%
Other 1 3%
Unknown 13 33%
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 11 April 2017.
All research outputs
#2,953,526
of 22,893,031 outputs
Outputs from Journal of Neurology
#632
of 4,486 outputs
Outputs of similar age
#52,460
of 319,475 outputs
Outputs of similar age from Journal of Neurology
#10
of 48 outputs
Altmetric has tracked 22,893,031 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,486 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has done well, scoring higher than 85% 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 319,475 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 83% of its contemporaries.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.