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Frontotemporal Lobar Degeneration and MicroRNAs

Overview of attention for article published in Frontiers in Aging Neuroscience, February 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

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1 news outlet
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3 X users

Citations

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56 Mendeley
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Title
Frontotemporal Lobar Degeneration and MicroRNAs
Published in
Frontiers in Aging Neuroscience, February 2016
DOI 10.3389/fnagi.2016.00017
Pubmed ID
Authors

Paola Piscopo, Diego Albani, Anna E. Castellano, Gianluigi Forloni, Annamaria Confaloni

Abstract

Frontotemporal lobar degeneration (FTLD) includes a spectrum of disorders characterized by changes of personality and social behavior and, often, a gradual and progressive language dysfunction. In the last years, several efforts have been fulfilled in identifying both genetic mutations and pathological proteins associated with FTLD. The molecular bases undergoing the onset and progression of the disease remain still unknown. Recent literature prompts an involvement of RNA metabolism in FTLD, particularly microRNAs (miRNAs). Dysregulation of miRNAs in several disorders, including neurodegenerative diseases, and increasing importance of circulating miRNAs in different pathologies has suggested to implement the study of their possible application as biological markers and new therapeutic targets; moreover, miRNA-based therapy is becoming a powerful tool to deepen the function of a gene, the mechanism of a disease, and validate therapeutic targets. Regarding FTLD, different studies showed that miRNAs are playing an important role. For example, several reports have evaluated miRNA regulation of the progranulin gene suggesting that it is under their control, as described for miR-29b, miR-107, and miR-659. More recently, it has been demonstrated that TMEM106B gene, which protein is elevated in FTLD-TDP brains, is repressed by miR-132/212 cluster; this post-transcriptional mechanism increases intracellular levels of progranulin, affecting its pathways. These findings if confirmed could suggest that these microRNAs have a role as potential targets for some related-FTLD genes. In this review, we focus on the emerging roles of the miRNAs in the pathogenesis of FTLD.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 56 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 20%
Student > Bachelor 11 20%
Researcher 6 11%
Other 4 7%
Student > Master 3 5%
Other 8 14%
Unknown 13 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 21%
Neuroscience 12 21%
Biochemistry, Genetics and Molecular Biology 7 13%
Medicine and Dentistry 6 11%
Psychology 2 4%
Other 4 7%
Unknown 13 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 26 February 2016.
All research outputs
#2,778,185
of 22,844,985 outputs
Outputs from Frontiers in Aging Neuroscience
#1,137
of 4,792 outputs
Outputs of similar age
#51,973
of 400,364 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#25
of 77 outputs
Altmetric has tracked 22,844,985 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,792 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.0. This one has done well, scoring higher than 75% 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 400,364 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 86% of its contemporaries.
We're also able to compare this research output to 77 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.