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Modeling Alzheimer’s disease in transgenic rats

Overview of attention for article published in Molecular Neurodegeneration, October 2013
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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 (88th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

news
1 news outlet
twitter
1 X user
patent
2 patents

Citations

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139 Dimensions

Readers on

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320 Mendeley
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Title
Modeling Alzheimer’s disease in transgenic rats
Published in
Molecular Neurodegeneration, October 2013
DOI 10.1186/1750-1326-8-37
Pubmed ID
Authors

Sonia Do Carmo, A Claudio Cuello

Abstract

Alzheimer's disease (AD) is the most common form of dementia. At the diagnostic stage, the AD brain is characterized by the accumulation of extracellular amyloid plaques, intracellular neurofibrillary tangles and neuronal loss. Despite the large variety of therapeutic approaches, this condition remains incurable, since at the time of clinical diagnosis, the brain has already suffered irreversible and extensive damage. In recent years, it has become evident that AD starts decades prior to its clinical presentation. In this regard, transgenic animal models can shed much light on the mechanisms underlying this "pre-clinical" stage, enabling the identification and validation of new therapeutic targets. This paper summarizes the formidable efforts to create models mimicking the various aspects of AD pathology in the rat. Transgenic rat models offer distinctive advantages over mice. Rats are physiologically, genetically and morphologically closer to humans. More importantly, the rat has a well-characterized, rich behavioral display. Consequently, rat models of AD should allow a more sophisticated and accurate assessment of the impact of pathology and novel therapeutics on cognitive outcomes.

X Demographics

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

Geographical breakdown

Country Count As %
Germany 1 <1%
India 1 <1%
Czechia 1 <1%
Argentina 1 <1%
Belgium 1 <1%
Denmark 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 312 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 73 23%
Student > Bachelor 51 16%
Researcher 46 14%
Student > Master 41 13%
Student > Doctoral Student 12 4%
Other 44 14%
Unknown 53 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 68 21%
Neuroscience 64 20%
Medicine and Dentistry 40 13%
Biochemistry, Genetics and Molecular Biology 30 9%
Pharmacology, Toxicology and Pharmaceutical Science 9 3%
Other 40 13%
Unknown 69 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 25 February 2020.
All research outputs
#2,760,249
of 25,374,917 outputs
Outputs from Molecular Neurodegeneration
#388
of 977 outputs
Outputs of similar age
#24,993
of 224,583 outputs
Outputs of similar age from Molecular Neurodegeneration
#3
of 18 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 977 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.6. This one has gotten more attention than average, scoring higher than 59% 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 224,583 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 88% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.