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A novel disulfidptosis-associated expression pattern in breast cancer based on machine learning

Overview of attention for article published in Frontiers in Genetics, June 2023
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Mentioned by

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1 X user

Citations

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7 Dimensions

Readers on

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5 Mendeley
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Title
A novel disulfidptosis-associated expression pattern in breast cancer based on machine learning
Published in
Frontiers in Genetics, June 2023
DOI 10.3389/fgene.2023.1193944
Pubmed ID
Authors

Zhitang Wang, Xianqiang Du, Weibin Lian, Jialin Chen, Chengye Hong, Liangqiang Li, Debo Chen

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 20%
Unknown 4 80%
Readers by discipline Count As %
Medicine and Dentistry 1 20%
Engineering 1 20%
Unknown 3 60%
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 29 June 2023.
All research outputs
#21,351,685
of 26,208,484 outputs
Outputs from Frontiers in Genetics
#8,169
of 13,875 outputs
Outputs of similar age
#282,392
of 382,190 outputs
Outputs of similar age from Frontiers in Genetics
#171
of 355 outputs
Altmetric has tracked 26,208,484 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 13,875 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 28th percentile – i.e., 28% 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 382,190 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 355 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.