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Kinetics of neurodegeneration based on a risk-related biomarker in animal model of glaucoma

Overview of attention for article published in Molecular Neurodegeneration, January 2013
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1 X user
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1 Facebook page

Citations

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47 Mendeley
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Title
Kinetics of neurodegeneration based on a risk-related biomarker in animal model of glaucoma
Published in
Molecular Neurodegeneration, January 2013
DOI 10.1186/1750-1326-8-4
Pubmed ID
Authors

Takuya Hayashi, Masamitsu Shimazawa, Hiroshi Watabe, Takayuki Ose, Yuta Inokuchi, Yasushi Ito, Hajime Yamanaka, Shin-ichi Urayama, Yasuyoshi Watanabe, Hideaki Hara, Hirotaka Onoe

Abstract

Neurodegenerative diseases including Parkinson's and Alzheimer's diseases progress slowly and steadily over years or decades. They show significant between-subject variation in progress and clinical symptoms, which makes it difficult to predict the course of long-term disease progression with or without treatments. Recent technical advances in biomarkers have facilitated earlier, preclinical diagnoses of neurodegeneration by measuring or imaging molecules linked to pathogenesis. However, there is no established "biomarker model" by which one can quantitatively predict the progress of neurodegeneration. Here, we show predictability of a model with risk-based kinetics of neurodegeneration, whereby neurodegeneration proceeds as probabilistic events depending on the risk.

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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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 46 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 17%
Researcher 8 17%
Other 6 13%
Student > Doctoral Student 5 11%
Professor 3 6%
Other 5 11%
Unknown 12 26%
Readers by discipline Count As %
Medicine and Dentistry 8 17%
Neuroscience 6 13%
Agricultural and Biological Sciences 5 11%
Computer Science 3 6%
Mathematics 2 4%
Other 7 15%
Unknown 16 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 28 March 2013.
All research outputs
#14,742,867
of 22,693,205 outputs
Outputs from Molecular Neurodegeneration
#696
of 844 outputs
Outputs of similar age
#177,692
of 284,846 outputs
Outputs of similar age from Molecular Neurodegeneration
#12
of 20 outputs
Altmetric has tracked 22,693,205 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 844 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.1. This one is in the 15th percentile – i.e., 15% of its peers scored the same or lower than it.
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 284,846 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.