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Identification of Potential Metabolite Markers for Middle-Aged Patients with Post-Stroke Depression Using Urine Metabolomics

Overview of attention for article published in Neuropsychiatric Disease and Treatment, August 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

Mentioned by

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1 X user
facebook
1 Facebook page

Citations

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12 Dimensions

Readers on

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13 Mendeley
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Title
Identification of Potential Metabolite Markers for Middle-Aged Patients with Post-Stroke Depression Using Urine Metabolomics
Published in
Neuropsychiatric Disease and Treatment, August 2020
DOI 10.2147/ndt.s271990
Pubmed ID
Authors

Jing Xie, Yu Han, Yueling Hong, Wen-wen Li, Qilin Pei, Xueyi Zhou, Bingbing Zhang, Ying Wang

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

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 15%
Student > Ph. D. Student 2 15%
Student > Master 2 15%
Researcher 2 15%
Professor > Associate Professor 2 15%
Other 0 0%
Unknown 3 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 15%
Medicine and Dentistry 2 15%
Nursing and Health Professions 2 15%
Psychology 2 15%
Environmental Science 1 8%
Other 1 8%
Unknown 3 23%
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 15 September 2020.
All research outputs
#20,669,432
of 25,387,668 outputs
Outputs from Neuropsychiatric Disease and Treatment
#2,328
of 3,131 outputs
Outputs of similar age
#327,270
of 426,823 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#23
of 56 outputs
Altmetric has tracked 25,387,668 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 3,131 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 17th percentile – i.e., 17% 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 426,823 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 56 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 51% of its contemporaries.