↓ Skip to main content

Rodent models of neuroinflammation for Alzheimer’s disease

Overview of attention for article published in Journal of Neuroinflammation, April 2015
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
200 Dimensions

Readers on

mendeley
490 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Rodent models of neuroinflammation for Alzheimer’s disease
Published in
Journal of Neuroinflammation, April 2015
DOI 10.1186/s12974-015-0291-y
Pubmed ID
Authors

Amir Nazem, Roman Sankowski, Michael Bacher, Yousef Al-Abed

Abstract

Alzheimer's disease remains incurable, and the failures of current disease-modifying strategies for Alzheimer's disease could be attributed to a lack of in vivo models that recapitulate the underlying etiology of late-onset Alzheimer's disease. The etiology of late-onset Alzheimer's disease is not based on mutations related to amyloid-β (Aβ) or tau production which are currently the basis of in vivo models of Alzheimer's disease. It has recently been suggested that mechanisms like chronic neuroinflammation may occur prior to amyloid-β and tau pathologies in late-onset Alzheimer's disease. The aim of this study is to analyze the characteristics of rodent models of neuroinflammation in late-onset Alzheimer's disease. Our search criteria were based on characteristics of an idealistic disease model that should recapitulate causes, symptoms, and lesions in a chronological order similar to the actual disease. Therefore, a model based on the inflammation hypothesis of late-onset Alzheimer's disease should include the following features: (i) primary chronic neuroinflammation, (ii) manifestations of memory and cognitive impairment, and (iii) late development of tau and Aβ pathologies. The following models fit the pre-defined criteria: lipopolysaccharide- and PolyI:C-induced models of immune challenge; streptozotocin-, okadaic acid-, and colchicine neurotoxin-induced neuroinflammation models, as well as interleukin-1β, anti-nerve growth factor and p25 transgenic models. Among these models, streptozotocin, PolyI:C-induced, and p25 neuroinflammation models are compatible with the inflammation hypothesis of Alzheimer's disease.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 490 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 <1%
Chile 1 <1%
Brazil 1 <1%
United Kingdom 1 <1%
Mexico 1 <1%
Japan 1 <1%
United States 1 <1%
Unknown 482 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 78 16%
Student > Bachelor 69 14%
Student > Ph. D. Student 64 13%
Researcher 46 9%
Student > Postgraduate 24 5%
Other 77 16%
Unknown 132 27%
Readers by discipline Count As %
Neuroscience 95 19%
Agricultural and Biological Sciences 53 11%
Pharmacology, Toxicology and Pharmaceutical Science 45 9%
Biochemistry, Genetics and Molecular Biology 43 9%
Medicine and Dentistry 42 9%
Other 53 11%
Unknown 159 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 24 April 2015.
All research outputs
#4,173,376
of 22,800,560 outputs
Outputs from Journal of Neuroinflammation
#802
of 2,629 outputs
Outputs of similar age
#53,165
of 264,854 outputs
Outputs of similar age from Journal of Neuroinflammation
#19
of 55 outputs
Altmetric has tracked 22,800,560 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,629 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has gotten more attention than average, scoring higher than 64% 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 264,854 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 78% of its contemporaries.
We're also able to compare this research output to 55 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 63% of its contemporaries.