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Getting Past Old Models of PRC Diversity: Understand the Empire to Understand the Imperial Nation State

Overview of attention for article published in Journal of Chinese Political Science, September 2022
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#13 of 309)
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

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33 X users

Citations

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2 Dimensions

Readers on

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Title
Getting Past Old Models of PRC Diversity: Understand the Empire to Understand the Imperial Nation State
Published in
Journal of Chinese Political Science, September 2022
DOI 10.1007/s11366-022-09830-2
Authors

James Millward

X Demographics

X Demographics

The data shown below were collected from the profiles of 33 X users who shared this research output. Click here to find out more about how the information was compiled.
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 30 December 2022.
All research outputs
#1,583,366
of 25,550,333 outputs
Outputs from Journal of Chinese Political Science
#13
of 309 outputs
Outputs of similar age
#34,445
of 433,540 outputs
Outputs of similar age from Journal of Chinese Political Science
#2
of 9 outputs
Altmetric has tracked 25,550,333 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 309 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done particularly well, scoring higher than 96% 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 433,540 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 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.