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Identification of biomarkers differentiating Alzheimer’s disease from other neurodegenerative diseases by integrated bioinformatic analysis and machine-learning strategies

Overview of attention for article published in Frontiers in Molecular Neuroscience, May 2023
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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 (85th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
1 news outlet
twitter
1 X user

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
11 Mendeley
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Title
Identification of biomarkers differentiating Alzheimer’s disease from other neurodegenerative diseases by integrated bioinformatic analysis and machine-learning strategies
Published in
Frontiers in Molecular Neuroscience, May 2023
DOI 10.3389/fnmol.2023.1152279
Pubmed ID
Authors

Boru Jin, Guoqiang Fei, Shaoming Sang, Chunjiu Zhong

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

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 18%
Lecturer 1 9%
Other 1 9%
Student > Bachelor 1 9%
Student > Master 1 9%
Other 0 0%
Unknown 5 45%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 27%
Economics, Econometrics and Finance 1 9%
Social Sciences 1 9%
Neuroscience 1 9%
Unknown 5 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 02 June 2023.
All research outputs
#3,399,541
of 23,923,788 outputs
Outputs from Frontiers in Molecular Neuroscience
#540
of 3,083 outputs
Outputs of similar age
#43,191
of 301,305 outputs
Outputs of similar age from Frontiers in Molecular Neuroscience
#4
of 70 outputs
Altmetric has tracked 23,923,788 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,083 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. 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 301,305 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 85% of its contemporaries.
We're also able to compare this research output to 70 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.