↓ Skip to main content

Social prediction: a new research paradigm based on machine learning

Overview of attention for article published in The Journal of Chinese Sociology, September 2021
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 tweeter

Readers on

mendeley
6 Mendeley
Title
Social prediction: a new research paradigm based on machine learning
Published in
The Journal of Chinese Sociology, September 2021
DOI 10.1186/s40711-021-00152-z
Authors

Yunsong Chen, Xiaogang Wu, Anning Hu, Guangye He, Guodong Ju

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 2 33%
Student > Ph. D. Student 1 17%
Other 1 17%
Student > Master 1 17%
Researcher 1 17%
Other 0 0%
Readers by discipline Count As %
Computer Science 3 50%
Arts and Humanities 1 17%
Psychology 1 17%
Social Sciences 1 17%

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 23 November 2021.
All research outputs
#13,154,903
of 19,822,123 outputs
Outputs from The Journal of Chinese Sociology
#38
of 53 outputs
Outputs of similar age
#194,108
of 338,016 outputs
Outputs of similar age from The Journal of Chinese Sociology
#1
of 1 outputs
Altmetric has tracked 19,822,123 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 53 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one is in the 9th percentile – i.e., 9% 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 338,016 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them