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A Novel Diagnostic Prediction Model for Vestibular Migraine

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

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1 Facebook page

Citations

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9 Dimensions

Readers on

mendeley
21 Mendeley
Title
A Novel Diagnostic Prediction Model for Vestibular Migraine
Published in
Neuropsychiatric Disease and Treatment, July 2020
DOI 10.2147/ndt.s255717
Pubmed ID
Authors

Chang Zhou, Lei Zhang, Xuemei Jiang, Shanshan Shi, Qiuhong Yu, Qihui Chen, Dan Yao, Yonghui Pan

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 10%
Student > Bachelor 2 10%
Professor 2 10%
Researcher 2 10%
Student > Postgraduate 2 10%
Other 1 5%
Unknown 10 48%
Readers by discipline Count As %
Medicine and Dentistry 4 19%
Psychology 2 10%
Neuroscience 1 5%
Social Sciences 1 5%
Unknown 13 62%
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 28 July 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
#373,886
of 432,368 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#33
of 60 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 432,368 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 60 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.