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Evaluation of Models of Parkinson's Disease

Overview of attention for article published in Frontiers in Neuroscience, January 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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
1 news outlet
twitter
11 X users
patent
16 patents
wikipedia
1 Wikipedia page

Readers on

mendeley
444 Mendeley
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Title
Evaluation of Models of Parkinson's Disease
Published in
Frontiers in Neuroscience, January 2016
DOI 10.3389/fnins.2015.00503
Pubmed ID
Authors

Shail A. Jagmag, Naveen Tripathi, Sunil D. Shukla, Sankar Maiti, Sukant Khurana

Abstract

Parkinson's disease is one of the most common neurodegenerative diseases. Animal models have contributed a large part to our understanding and therapeutics developed for treatment of PD. There are several more exhaustive reviews of literature that provide the initiated insights into the specific models; however a novel synthesis of the basic advantages and disadvantages of different models is much needed. Here we compare both neurotoxin based and genetic models while suggesting some novel avenues in PD modeling. We also highlight the problems faced and promises of all the mammalian models with the hope of providing a framework for comparison of various systems.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 X users 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 444 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 <1%
Portugal 1 <1%
United Kingdom 1 <1%
Unknown 440 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 86 19%
Student > Master 70 16%
Student > Bachelor 55 12%
Researcher 44 10%
Student > Doctoral Student 36 8%
Other 41 9%
Unknown 112 25%
Readers by discipline Count As %
Neuroscience 95 21%
Agricultural and Biological Sciences 58 13%
Biochemistry, Genetics and Molecular Biology 51 11%
Medicine and Dentistry 41 9%
Pharmacology, Toxicology and Pharmaceutical Science 22 5%
Other 48 11%
Unknown 129 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 March 2024.
All research outputs
#1,684,140
of 25,373,627 outputs
Outputs from Frontiers in Neuroscience
#843
of 11,538 outputs
Outputs of similar age
#29,021
of 402,948 outputs
Outputs of similar age from Frontiers in Neuroscience
#10
of 150 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,538 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has done particularly well, scoring higher than 92% 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 402,948 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 150 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.