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Non-parametric reconstruction of growth index via Gaussian processes

Overview of attention for article published in Science China Physics, Mechanics & Astronomy, April 2019
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2 X users

Citations

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10 Mendeley
Title
Non-parametric reconstruction of growth index via Gaussian processes
Published in
Science China Physics, Mechanics & Astronomy, April 2019
DOI 10.1007/s11433-019-9373-0
Authors

Zhao-Yu Yin, Hao Wei

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

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 30%
Student > Ph. D. Student 2 20%
Student > Doctoral Student 2 20%
Student > Postgraduate 1 10%
Unknown 2 20%
Readers by discipline Count As %
Physics and Astronomy 5 50%
Chemical Engineering 1 10%
Unknown 4 40%
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 02 August 2018.
All research outputs
#19,702,729
of 24,217,893 outputs
Outputs from Science China Physics, Mechanics & Astronomy
#298
of 399 outputs
Outputs of similar age
#268,570
of 354,085 outputs
Outputs of similar age from Science China Physics, Mechanics & Astronomy
#14
of 17 outputs
Altmetric has tracked 24,217,893 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 399 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one is in the 16th percentile – i.e., 16% 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 354,085 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.