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Assessing the Effects of Vitamin D on Neural Network Function in Patients With Parkinson’s Disease by Measuring the Fraction Amplitude of Low-Frequency Fluctuation

Overview of attention for article published in Frontiers in Aging Neuroscience, December 2021
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  • Average Attention Score compared to outputs of the same age

Mentioned by

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3 X users

Citations

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7 Dimensions

Readers on

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12 Mendeley
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Title
Assessing the Effects of Vitamin D on Neural Network Function in Patients With Parkinson’s Disease by Measuring the Fraction Amplitude of Low-Frequency Fluctuation
Published in
Frontiers in Aging Neuroscience, December 2021
DOI 10.3389/fnagi.2021.763947
Pubmed ID
Authors

Lingling Lv, Hainan Zhang, Xuling Tan, Lixia Qin, Xinke Peng, Rongrong Bai, Qile Xiao, Changlian Tan, Haiyan Liao, Weiqian Yan, Jieqiong Tan, Beisha Tang, Chunyu Wang

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 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 %
Researcher 1 8%
Other 1 8%
Unknown 10 83%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 8%
Neuroscience 1 8%
Unknown 10 83%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 06 January 2022.
All research outputs
#17,418,706
of 26,330,421 outputs
Outputs from Frontiers in Aging Neuroscience
#4,135
of 5,674 outputs
Outputs of similar age
#299,389
of 529,424 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#171
of 255 outputs
Altmetric has tracked 26,330,421 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,674 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one is in the 23rd percentile – i.e., 23% 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 529,424 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 255 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.