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Identification and validation of key molecules associated with humoral immune modulation in Parkinson’s disease based on bioinformatics

Overview of attention for article published in Frontiers in immunology, September 2022
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Mentioned by

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2 X users

Citations

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3 Dimensions

Readers on

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7 Mendeley
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Title
Identification and validation of key molecules associated with humoral immune modulation in Parkinson’s disease based on bioinformatics
Published in
Frontiers in immunology, September 2022
DOI 10.3389/fimmu.2022.948615
Pubmed ID
Authors

Na Xing, Ziye Dong, Qiaoli Wu, Pengcheng Kan, Yuan Han, Xiuli Cheng, Biao Zhang

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 14%
Student > Doctoral Student 1 14%
Unknown 5 71%
Readers by discipline Count As %
Unspecified 1 14%
Medicine and Dentistry 1 14%
Unknown 5 71%
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 20 September 2022.
All research outputs
#21,316,883
of 26,179,695 outputs
Outputs from Frontiers in immunology
#25,534
of 33,036 outputs
Outputs of similar age
#323,730
of 437,349 outputs
Outputs of similar age from Frontiers in immunology
#1,554
of 2,014 outputs
Altmetric has tracked 26,179,695 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 33,036 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one is in the 14th percentile – i.e., 14% 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 437,349 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2,014 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.