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Guidelines for bioinformatics of single-cell sequencing data analysis in Alzheimer’s disease: review, recommendation, implementation and application

Overview of attention for article published in Molecular Neurodegeneration, March 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)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

news
1 news outlet
twitter
14 X users

Citations

dimensions_citation
45 Dimensions

Readers on

mendeley
144 Mendeley
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Title
Guidelines for bioinformatics of single-cell sequencing data analysis in Alzheimer’s disease: review, recommendation, implementation and application
Published in
Molecular Neurodegeneration, March 2022
DOI 10.1186/s13024-022-00517-z
Pubmed ID
Authors

Minghui Wang, Won-min Song, Chen Ming, Qian Wang, Xianxiao Zhou, Peng Xu, Azra Krek, Yonejung Yoon, Lap Ho, Miranda E. Orr, Guo-Cheng Yuan, Bin Zhang

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 X users 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 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 144 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 19%
Researcher 17 12%
Student > Bachelor 13 9%
Student > Master 11 8%
Student > Doctoral Student 6 4%
Other 11 8%
Unknown 58 40%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 31 22%
Neuroscience 18 13%
Medicine and Dentistry 10 7%
Agricultural and Biological Sciences 7 5%
Engineering 4 3%
Other 13 9%
Unknown 61 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 11 March 2022.
All research outputs
#2,175,735
of 23,837,558 outputs
Outputs from Molecular Neurodegeneration
#236
of 881 outputs
Outputs of similar age
#51,567
of 444,367 outputs
Outputs of similar age from Molecular Neurodegeneration
#13
of 20 outputs
Altmetric has tracked 23,837,558 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 881 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one has gotten more attention than average, scoring higher than 72% 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 444,367 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 20 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.