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Who loses income during the COVID-19 outbreak? Evidence from China

Overview of attention for article published in Research in Social Stratification and Mobility, August 2020
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#15 of 246)
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

news
1 news outlet
twitter
38 tweeters

Citations

dimensions_citation
2 Dimensions
Title
Who loses income during the COVID-19 outbreak? Evidence from China
Published in
Research in Social Stratification and Mobility, August 2020
DOI 10.1016/j.rssm.2020.100522
Authors

Yue Qian, Wen Fan

Twitter Demographics

The data shown below were collected from the profiles of 38 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Attention Score in Context

This research output has an Altmetric Attention Score of 39. 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 2020.
All research outputs
#557,306
of 15,573,622 outputs
Outputs from Research in Social Stratification and Mobility
#15
of 246 outputs
Outputs of similar age
#19,532
of 285,031 outputs
Outputs of similar age from Research in Social Stratification and Mobility
#1
of 7 outputs
Altmetric has tracked 15,573,622 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 246 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 particularly well, scoring higher than 93% 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 285,031 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 93% of its contemporaries.
We're also able to compare this research output to 7 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