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Evolution and Features of China’s Central Government Funding System for Basic Research

Overview of attention for article published in Research Metrics and Analytics (RMA), December 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

blogs
1 blog
policy
1 policy source
twitter
16 X users

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
9 Mendeley
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Title
Evolution and Features of China’s Central Government Funding System for Basic Research
Published in
Research Metrics and Analytics (RMA), December 2021
DOI 10.3389/frma.2021.751497
Pubmed ID
Authors

Aruhan Bai, Cong Wu, Kejia Yang

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 33%
Student > Master 2 22%
Student > Doctoral Student 1 11%
Student > Bachelor 1 11%
Unknown 2 22%
Readers by discipline Count As %
Physics and Astronomy 3 33%
Nursing and Health Professions 1 11%
Environmental Science 1 11%
Business, Management and Accounting 1 11%
Medicine and Dentistry 1 11%
Other 0 0%
Unknown 2 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 March 2023.
All research outputs
#1,737,448
of 26,536,755 outputs
Outputs from Research Metrics and Analytics (RMA)
#64
of 381 outputs
Outputs of similar age
#41,871
of 531,169 outputs
Outputs of similar age from Research Metrics and Analytics (RMA)
#6
of 24 outputs
Altmetric has tracked 26,536,755 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 381 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.2. This one has done well, scoring higher than 83% of its peers.
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 531,169 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.