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Elevation of brain magnesium prevents synaptic loss and reverses cognitive deficits in Alzheimer’s disease mouse model

Overview of attention for article published in Molecular Brain, September 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#9 of 1,072)
  • High Attention Score compared to outputs of the same age (97th percentile)

Mentioned by

news
1 news outlet
twitter
75 tweeters
patent
1 patent
peer_reviews
1 peer review site
facebook
12 Facebook pages
wikipedia
2 Wikipedia pages
googleplus
3 Google+ users
reddit
1 Redditor

Citations

dimensions_citation
90 Dimensions

Readers on

mendeley
115 Mendeley
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Title
Elevation of brain magnesium prevents synaptic loss and reverses cognitive deficits in Alzheimer’s disease mouse model
Published in
Molecular Brain, September 2014
DOI 10.1186/s13041-014-0065-y
Pubmed ID
Authors

Wei Li, Jia Yu, Yong Liu, Xiaojie Huang, Nashat Abumaria, Ying Zhu, Xian Huang, Wenxiang Xiong, Chi Ren, Xian-Guo Liu, Dehua Chui, Guosong Liu

Abstract

Profound synapse loss is one of the major pathological hallmarks associated with Alzheimer's disease, which might underlie memory impairment. Our previous work demonstrates that magnesium ion is a critical factor in controlling synapse density/plasticity. Here, we tested whether elevation of brain magnesium, using a recently developed compound (magnesium-L-threonate, MgT), can ameliorate the AD-like pathologies and cognitive deficits in the APPswe/PS1dE9 mice, a transgenic mouse model of Alzheimer's disease.

Twitter Demographics

The data shown below were collected from the profiles of 75 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 2 2%
United States 1 <1%
Unknown 112 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 21%
Student > Bachelor 18 16%
Student > Ph. D. Student 15 13%
Student > Master 13 11%
Other 11 10%
Other 15 13%
Unknown 19 17%
Readers by discipline Count As %
Medicine and Dentistry 21 18%
Neuroscience 20 17%
Biochemistry, Genetics and Molecular Biology 10 9%
Agricultural and Biological Sciences 10 9%
Nursing and Health Professions 6 5%
Other 19 17%
Unknown 29 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 77. 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 18 June 2022.
All research outputs
#438,474
of 21,829,456 outputs
Outputs from Molecular Brain
#9
of 1,072 outputs
Outputs of similar age
#4,611
of 217,550 outputs
Outputs of similar age from Molecular Brain
#1
of 1 outputs
Altmetric has tracked 21,829,456 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,072 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has done particularly well, scoring higher than 99% 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 217,550 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 97% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them