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Peripheral non-enzymatic antioxidants as biomarkers for mood disorders: Evidence from a machine learning prediction model

Overview of attention for article published in Frontiers in Psychiatry, November 2022
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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2 X users

Citations

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4 Dimensions

Readers on

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10 Mendeley
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Title
Peripheral non-enzymatic antioxidants as biomarkers for mood disorders: Evidence from a machine learning prediction model
Published in
Frontiers in Psychiatry, November 2022
DOI 10.3389/fpsyt.2022.1019618
Pubmed ID
Authors

Yuandong Gong, Zhe Lu, Zhewei Kang, Xiaoyang Feng, Yuyanan Zhang, Yaoyao Sun, Weimin Chen, Guanglei Xun, Weihua Yue

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 30%
Other 2 20%
Researcher 1 10%
Student > Master 1 10%
Unknown 3 30%
Readers by discipline Count As %
Medicine and Dentistry 2 20%
Agricultural and Biological Sciences 2 20%
Nursing and Health Professions 1 10%
Psychology 1 10%
Computer Science 1 10%
Other 0 0%
Unknown 3 30%
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 07 November 2022.
All research outputs
#18,612,796
of 23,056,273 outputs
Outputs from Frontiers in Psychiatry
#6,971
of 10,172 outputs
Outputs of similar age
#304,271
of 440,264 outputs
Outputs of similar age from Frontiers in Psychiatry
#393
of 738 outputs
Altmetric has tracked 23,056,273 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,172 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 23rd percentile – i.e., 23% 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 440,264 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 738 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.