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Metabolic network as an objective biomarker in monitoring deep brain stimulation for Parkinson’s disease: a longitudinal study

Overview of attention for article published in EJNMMI Research, October 2020
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2 X users

Citations

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Readers on

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40 Mendeley
Title
Metabolic network as an objective biomarker in monitoring deep brain stimulation for Parkinson’s disease: a longitudinal study
Published in
EJNMMI Research, October 2020
DOI 10.1186/s13550-020-00722-1
Pubmed ID
Authors

Jingjie Ge, Min Wang, Wei Lin, Ping Wu, Yihui Guan, Huiwei Zhang, Zhemin Huang, Likun Yang, Chuantao Zuo, Jiehui Jiang, Axel Rominger, Kuangyu Shi

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 20%
Student > Bachelor 5 13%
Student > Ph. D. Student 5 13%
Student > Doctoral Student 4 10%
Student > Master 3 8%
Other 4 10%
Unknown 11 28%
Readers by discipline Count As %
Medicine and Dentistry 11 28%
Neuroscience 6 15%
Psychology 4 10%
Engineering 2 5%
Computer Science 1 3%
Other 3 8%
Unknown 13 33%
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 31 October 2020.
All research outputs
#18,764,674
of 23,257,423 outputs
Outputs from EJNMMI Research
#347
of 571 outputs
Outputs of similar age
#315,225
of 420,590 outputs
Outputs of similar age from EJNMMI Research
#28
of 39 outputs
Altmetric has tracked 23,257,423 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 571 research outputs from this source. They receive a mean Attention Score of 2.6. This one is in the 30th percentile – i.e., 30% 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 420,590 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 39 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.