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The Metabolic Factor Kynurenic Acid of Kynurenine Pathway Predicts Major Depressive Disorder

Overview of attention for article published in Frontiers in Psychiatry, November 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
6 X users
facebook
1 Facebook page

Citations

dimensions_citation
74 Dimensions

Readers on

mendeley
105 Mendeley
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Title
The Metabolic Factor Kynurenic Acid of Kynurenine Pathway Predicts Major Depressive Disorder
Published in
Frontiers in Psychiatry, November 2018
DOI 10.3389/fpsyt.2018.00552
Pubmed ID
Authors

Hongye Liu, Lei Ding, Huifeng Zhang, David Mellor, Haiyan Wu, Dongmei Zhao, Chuangxin Wu, Zhiguang Lin, Jiaojian Yuan, Daihui Peng

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 105 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 16 15%
Student > Ph. D. Student 9 9%
Student > Master 9 9%
Student > Doctoral Student 8 8%
Researcher 8 8%
Other 15 14%
Unknown 40 38%
Readers by discipline Count As %
Medicine and Dentistry 14 13%
Biochemistry, Genetics and Molecular Biology 10 10%
Neuroscience 8 8%
Pharmacology, Toxicology and Pharmaceutical Science 7 7%
Agricultural and Biological Sciences 6 6%
Other 20 19%
Unknown 40 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 2024.
All research outputs
#8,718,934
of 26,518,120 outputs
Outputs from Frontiers in Psychiatry
#4,250
of 13,220 outputs
Outputs of similar age
#161,183
of 452,455 outputs
Outputs of similar age from Frontiers in Psychiatry
#128
of 252 outputs
Altmetric has tracked 26,518,120 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 13,220 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.9. This one has gotten more attention than average, scoring higher than 67% 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 452,455 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 63% of its contemporaries.
We're also able to compare this research output to 252 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.