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Anti-neuron antibody syndrome: clinical features, cytokines/chemokines and predictors

Overview of attention for article published in Journal of Neuroinflammation, December 2021
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1 X user

Citations

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4 Dimensions

Readers on

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12 Mendeley
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Title
Anti-neuron antibody syndrome: clinical features, cytokines/chemokines and predictors
Published in
Journal of Neuroinflammation, December 2021
DOI 10.1186/s12974-021-02259-z
Pubmed ID
Authors

Shaohua Liao, Chuanfen Li, Xiaoying Bi, Hongwei Guo, Ying Qian, Xiaobei Liu, Shuai Miao, Huaiqiang Hu, Bingzhen Cao

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

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 17%
Researcher 1 8%
Other 1 8%
Unknown 8 67%
Readers by discipline Count As %
Medicine and Dentistry 3 25%
Biochemistry, Genetics and Molecular Biology 1 8%
Neuroscience 1 8%
Engineering 1 8%
Unknown 6 50%
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 07 December 2021.
All research outputs
#22,774,430
of 25,392,582 outputs
Outputs from Journal of Neuroinflammation
#2,605
of 2,951 outputs
Outputs of similar age
#438,086
of 513,444 outputs
Outputs of similar age from Journal of Neuroinflammation
#61
of 70 outputs
Altmetric has tracked 25,392,582 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 2,951 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. 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 513,444 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 70 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.