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Performance pay and assortative matching

Overview of attention for article published in Scottish Journal of Political Economy, September 2019
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Title
Performance pay and assortative matching
Published in
Scottish Journal of Political Economy, September 2019
DOI 10.1111/sjpe.12232
Authors

Keith A. Bender, Colin P. Green, John S. Heywood

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.

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 04 October 2019.
All research outputs
#10,913,829
of 13,727,890 outputs
Outputs from Scottish Journal of Political Economy
#213
of 262 outputs
Outputs of similar age
#151,556
of 210,684 outputs
Outputs of similar age from Scottish Journal of Political Economy
#8
of 12 outputs
Altmetric has tracked 13,727,890 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 262 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 1st percentile – i.e., 1% 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 210,684 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.