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Frontotemporal lobar degeneration: current knowledge and future challenges

Overview of attention for article published in Journal of Neurology, April 2012
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Title
Frontotemporal lobar degeneration: current knowledge and future challenges
Published in
Journal of Neurology, April 2012
DOI 10.1007/s00415-012-6507-5
Pubmed ID
Authors

Chiara Cerami, Elio Scarpini, Stefano F. Cappa, Daniela Galimberti

Abstract

Frontotemporal lobar degeneration (FTLD) is one of the most frequent neurodegenerative disorders with a presenile onset. It presents with a spectrum of clinical manifestations, ranging from behavioral and executive impairment to language disorders and motor dysfunction. New diagnostic criteria identified two main cognitive syndromes: behavioral variant frontotemporal dementia (bvFTD) and primary progressive aphasia. Regarding bvFTD, new criteria include the use of biomarkers. According to them, bvFTD can be classified in "possible" (clinical features only), "probable" (inclusion of imaging biomarkers) and "definite" (in the presence of a known causal mutation or at autopsy). Familial aggregation is frequently reported in FTLD, and about 10 % of cases have an autosomal dominant transmission. Microtubule-associated protein tau gene mutations have been the first ones identified, and are generally associated with early onset (40-50 years) and with the bvFTD phenotype. More recently, progranulin gene mutations were recognized in association with the familial form of FTLD and a hexanucleotide repetition in C9ORF72 has been shown to be responsible for familial FTLD and amyotrophic lateral sclerosis. In addition, other genes are linked to rare cases of familiar FTLD. Lastly, a number of genetic risk factors for sporadic forms have also been identified.

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Mendeley readers

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The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Italy 2 2%
Russia 1 1%
Belgium 1 1%
Unknown 80 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 20%
Researcher 13 15%
Student > Master 11 13%
Student > Doctoral Student 6 7%
Student > Postgraduate 6 7%
Other 19 22%
Unknown 14 16%
Readers by discipline Count As %
Medicine and Dentistry 21 24%
Neuroscience 14 16%
Agricultural and Biological Sciences 11 13%
Psychology 10 12%
Biochemistry, Genetics and Molecular Biology 6 7%
Other 8 9%
Unknown 16 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 19 May 2012.
All research outputs
#15,243,120
of 22,664,644 outputs
Outputs from Journal of Neurology
#3,201
of 4,446 outputs
Outputs of similar age
#104,267
of 163,315 outputs
Outputs of similar age from Journal of Neurology
#18
of 34 outputs
Altmetric has tracked 22,664,644 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,446 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one is in the 21st percentile – i.e., 21% of its peers scored the same or lower than it.
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We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.