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TREM2 in Neurodegenerative Diseases

Overview of attention for article published in Molecular Neurodegeneration, August 2017
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  • Good Attention Score compared to outputs of the same age (70th percentile)

Mentioned by

3 tweeters
1 patent


201 Dimensions

Readers on

356 Mendeley
1 CiteULike
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TREM2 in Neurodegenerative Diseases
Published in
Molecular Neurodegeneration, August 2017
DOI 10.1186/s13024-017-0197-5
Pubmed ID

Taylor R. Jay, Victoria E. von Saucken, Gary E. Landreth


TREM2 variants have been identified as risk factors for Alzheimer's disease (AD) and other neurodegenerative diseases (NDDs). Because TREM2 encodes a receptor exclusively expressed on immune cells, identification of these variants conclusively demonstrates that the immune response can play an active role in the pathogenesis of NDDs. These TREM2 variants also confer the highest risk for developing Alzheimer's disease of any risk factor identified in nearly two decades, suggesting that understanding more about TREM2 function could provide key insights into NDD pathology and provide avenues for novel immune-related NDD biomarkers and therapeutics. The expression, signaling and function of TREM2 in NDDs have been extensively investigated in an effort to understand the role of immune function in disease pathogenesis and progression. We provide a comprehensive review of our current understanding of TREM2 biology, including new insights into the regulation of TREM2 expression, and TREM2 signaling and function across NDDs. While many open questions remain, the current body of literature provides clarity on several issues. While it is still often cited that TREM2 expression is decreased by pro-inflammatory stimuli, it is now clear that this is true in vitro, but inflammatory stimuli in vivo almost universally increase TREM2 expression. Likewise, while TREM2 function is classically described as promoting an anti-inflammatory phenotype, more than half of published studies demonstrate a pro-inflammatory role for TREM2, suggesting that its role in inflammation is much more complex. Finally, these components of TREM2 biology are applied to a discussion of how TREM2 impacts NDD pathologies and the latest assessment of how these findings might be applied to immune-directed clinical biomarkers and therapeutics.

Twitter Demographics

The data shown below were collected from the profiles of 3 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 356 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 356 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 65 18%
Researcher 53 15%
Student > Bachelor 40 11%
Student > Master 37 10%
Student > Doctoral Student 17 5%
Other 47 13%
Unknown 97 27%
Readers by discipline Count As %
Neuroscience 85 24%
Biochemistry, Genetics and Molecular Biology 42 12%
Medicine and Dentistry 42 12%
Agricultural and Biological Sciences 24 7%
Pharmacology, Toxicology and Pharmaceutical Science 21 6%
Other 33 9%
Unknown 109 31%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 22 July 2021.
All research outputs
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Outputs from Molecular Neurodegeneration
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Outputs of similar age
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Outputs of similar age from Molecular Neurodegeneration
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Altmetric has tracked 20,034,281 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 764 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one is in the 38th percentile – i.e., 38% 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 285,564 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% 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