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Comparing survey-based and programme-based yield data: implications for the U.S. Agricultural Risk Coverage-County programme

Overview of attention for article published in Geneva Papers on Risk & Insurance - Issues & Practice, October 2019
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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 (#22 of 145)
  • Good Attention Score compared to outputs of the same age (71st percentile)

Mentioned by

twitter
7 tweeters
Title
Comparing survey-based and programme-based yield data: implications for the U.S. Agricultural Risk Coverage-County programme
Published in
Geneva Papers on Risk & Insurance - Issues & Practice, October 2019
DOI 10.1057/s41288-019-00148-4
Authors

Xiaofei Li, Zhiwei Shen, Ardian Harri, Keith H. Coble

Twitter Demographics

The data shown below were collected from the profiles of 7 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 6. 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 21 October 2019.
All research outputs
#3,166,110
of 13,888,024 outputs
Outputs from Geneva Papers on Risk & Insurance - Issues & Practice
#22
of 145 outputs
Outputs of similar age
#69,261
of 240,898 outputs
Outputs of similar age from Geneva Papers on Risk & Insurance - Issues & Practice
#1
of 2 outputs
Altmetric has tracked 13,888,024 research outputs across all sources so far. Compared to these this one has done well and is in the 77th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 145 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done well, scoring higher than 84% 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 240,898 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 2 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