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DNA Methylation Markers and Prediction Model for Depression and Their Contribution for Breast Cancer Risk

Overview of attention for article published in Frontiers in Molecular Neuroscience, February 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

twitter
5 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
18 Mendeley
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Title
DNA Methylation Markers and Prediction Model for Depression and Their Contribution for Breast Cancer Risk
Published in
Frontiers in Molecular Neuroscience, February 2022
DOI 10.3389/fnmol.2022.845212
Pubmed ID
Authors

Ning Wang, Jing Sun, Tao Pang, Haohao Zheng, Fengji Liang, Xiayue He, Danian Tang, Tao Yu, Jianghui Xiong, Suhua Chang

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 11%
Researcher 2 11%
Student > Bachelor 2 11%
Lecturer 1 6%
Student > Master 1 6%
Other 1 6%
Unknown 9 50%
Readers by discipline Count As %
Medicine and Dentistry 3 17%
Nursing and Health Professions 2 11%
Unspecified 2 11%
Neuroscience 1 6%
Social Sciences 1 6%
Other 0 0%
Unknown 9 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 20 March 2022.
All research outputs
#7,755,290
of 23,577,654 outputs
Outputs from Frontiers in Molecular Neuroscience
#1,097
of 3,025 outputs
Outputs of similar age
#158,690
of 443,529 outputs
Outputs of similar age from Frontiers in Molecular Neuroscience
#45
of 119 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,025 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has gotten more attention than average, scoring higher than 62% 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 443,529 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.
We're also able to compare this research output to 119 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.