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A Nomogram Model to Predict Malignant Cerebral Edema in Ischemic Stroke Patients Treated with Endovascular Thrombectomy: An Observational Study

Overview of attention for article published in Neuropsychiatric Disease and Treatment, December 2020
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Mentioned by

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1 X user

Citations

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Readers on

mendeley
18 Mendeley
Title
A Nomogram Model to Predict Malignant Cerebral Edema in Ischemic Stroke Patients Treated with Endovascular Thrombectomy: An Observational Study
Published in
Neuropsychiatric Disease and Treatment, December 2020
DOI 10.2147/ndt.s279303
Pubmed ID
Authors

Mingyang Du, Xianjun Huang, Shun Li, Lili Xu, Bin Yan, Yi Zhang, Huaiming Wang, Xinfeng Liu

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 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 %
Other 5 28%
Student > Master 5 28%
Student > Bachelor 2 11%
Student > Doctoral Student 1 6%
Researcher 1 6%
Other 0 0%
Unknown 4 22%
Readers by discipline Count As %
Medicine and Dentistry 9 50%
Neuroscience 2 11%
Unknown 7 39%
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 09 December 2020.
All research outputs
#22,771,990
of 25,387,668 outputs
Outputs from Neuropsychiatric Disease and Treatment
#2,583
of 3,131 outputs
Outputs of similar age
#447,852
of 518,694 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#30
of 34 outputs
Altmetric has tracked 25,387,668 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 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 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 518,694 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 34 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.