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Identification and immune characteristics of molecular subtypes related to protein glycosylation in Alzheimer’s disease

Overview of attention for article published in Frontiers in Aging Neuroscience, November 2022
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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 (86th percentile)

Mentioned by

news
1 news outlet
twitter
5 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
14 Mendeley
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Title
Identification and immune characteristics of molecular subtypes related to protein glycosylation in Alzheimer’s disease
Published in
Frontiers in Aging Neuroscience, November 2022
DOI 10.3389/fnagi.2022.968190
Pubmed ID
Authors

Zhaotian Ma, Fan Yang, Jiajia Fan, Xin Li, Yuanyuan Liu, Wei Chen, Honghao Sun, Tengfei Ma, Qiongying Wang, Yueriguli Maihaiti, Xiaoqiao Ren

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 14%
Student > Bachelor 2 14%
Lecturer 1 7%
Student > Ph. D. Student 1 7%
Researcher 1 7%
Other 0 0%
Unknown 7 50%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 14%
Neuroscience 2 14%
Pharmacology, Toxicology and Pharmaceutical Science 1 7%
Nursing and Health Professions 1 7%
Chemical Engineering 1 7%
Other 0 0%
Unknown 7 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 November 2022.
All research outputs
#2,605,739
of 23,189,371 outputs
Outputs from Frontiers in Aging Neuroscience
#898
of 4,898 outputs
Outputs of similar age
#53,130
of 444,058 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#42
of 310 outputs
Altmetric has tracked 23,189,371 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,898 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.2. This one has done well, scoring higher than 81% 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 444,058 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 310 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.