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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 (58th percentile)

Mentioned by

twitter
1 tweeter
facebook
1 Facebook page

Readers on

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

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

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 100%
Readers by discipline Count As %
Medicine and Dentistry 2 100%

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
#12,731,736
of 16,029,054 outputs
Outputs from Neuropsychiatric Disease and Treatment
#1,854
of 2,581 outputs
Outputs of similar age
#205,845
of 287,036 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#4
of 12 outputs
Altmetric has tracked 16,029,054 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 2,581 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one is in the 20th percentile – i.e., 20% 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 287,036 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 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 58% of its contemporaries.