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MSC-CSMC: A multi-objective semi-supervised clustering algorithm based on constraints selection and multi-source constraints for gene expression data

Overview of attention for article published in Frontiers in Genetics, February 2023
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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1 X user

Citations

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2 Dimensions

Readers on

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2 Mendeley
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Title
MSC-CSMC: A multi-objective semi-supervised clustering algorithm based on constraints selection and multi-source constraints for gene expression data
Published in
Frontiers in Genetics, February 2023
DOI 10.3389/fgene.2023.1135260
Pubmed ID
Authors

Zeyuan Wang, Hong Gu, Minghui Zhao, Dan Li, Jia Wang

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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer > Senior Lecturer 1 50%
Unknown 1 50%
Readers by discipline Count As %
Computer Science 1 50%
Unknown 1 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 27 February 2023.
All research outputs
#21,641,251
of 26,567,854 outputs
Outputs from Frontiers in Genetics
#8,282
of 14,015 outputs
Outputs of similar age
#325,152
of 432,876 outputs
Outputs of similar age from Frontiers in Genetics
#324
of 605 outputs
Altmetric has tracked 26,567,854 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,015 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 26th percentile – i.e., 26% 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 432,876 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 605 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.