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Predictive microbial feature analysis in patients with depression after acute ischemic stroke

Overview of attention for article published in Frontiers in Aging Neuroscience, March 2023
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1 X user

Citations

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8 Dimensions

Readers on

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14 Mendeley
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Title
Predictive microbial feature analysis in patients with depression after acute ischemic stroke
Published in
Frontiers in Aging Neuroscience, March 2023
DOI 10.3389/fnagi.2023.1116065
Pubmed ID
Authors

Shanshan Yao, Huijia Xie, Ya Wang, Nan Shen, Qionglei Chen, Yiting Zhao, Qilu Gu, Junmei Zhang, Jiaming Liu, Jing Sun, Qiuling Tong

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

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 21%
Student > Bachelor 1 7%
Student > Postgraduate 1 7%
Researcher 1 7%
Unknown 8 57%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 21%
Psychology 2 14%
Medicine and Dentistry 1 7%
Unknown 8 57%
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 12 April 2023.
All research outputs
#23,057,857
of 25,698,912 outputs
Outputs from Frontiers in Aging Neuroscience
#5,031
of 5,553 outputs
Outputs of similar age
#362,501
of 424,066 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#183
of 211 outputs
Altmetric has tracked 25,698,912 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,553 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one is in the 1st percentile – i.e., 1% 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 424,066 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 211 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.