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MV-CVIB: a microbiome-based multi-view convolutional variational information bottleneck for predicting metastatic colorectal cancer

Overview of attention for article published in Frontiers in Microbiology, August 2023
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1 X user

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mendeley
17 Mendeley
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Title
MV-CVIB: a microbiome-based multi-view convolutional variational information bottleneck for predicting metastatic colorectal cancer
Published in
Frontiers in Microbiology, August 2023
DOI 10.3389/fmicb.2023.1238199
Pubmed ID
Authors

Zhen Cui, Yan Wu, Qin-Hu Zhang, Si-Guo Wang, Ying He, De-Shuang Huang

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

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 6%
Student > Bachelor 1 6%
Unknown 15 88%
Readers by discipline Count As %
Unspecified 1 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Unknown 15 88%
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 23 August 2023.
All research outputs
#22,823,736
of 25,443,857 outputs
Outputs from Frontiers in Microbiology
#27,001
of 29,374 outputs
Outputs of similar age
#296,523
of 355,847 outputs
Outputs of similar age from Frontiers in Microbiology
#854
of 864 outputs
Altmetric has tracked 25,443,857 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 29,374 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one is in the 1st percentile – i.e., 1% 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 355,847 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 864 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.