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A computational model of labor market participation with health shocks and bounded rationality

Overview of attention for article published in Knowledge and Information Systems, August 2017
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 X users

Citations

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1 Dimensions

Readers on

mendeley
13 Mendeley
Title
A computational model of labor market participation with health shocks and bounded rationality
Published in
Knowledge and Information Systems, August 2017
DOI 10.1007/s10115-017-1096-3
Authors

Alessandro Moro, Paolo Pellizzari

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 38%
Researcher 2 15%
Student > Bachelor 1 8%
Other 1 8%
Student > Master 1 8%
Other 1 8%
Unknown 2 15%
Readers by discipline Count As %
Economics, Econometrics and Finance 3 23%
Social Sciences 3 23%
Computer Science 2 15%
Engineering 1 8%
Unknown 4 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 16 August 2017.
All research outputs
#14,405,036
of 23,849,058 outputs
Outputs from Knowledge and Information Systems
#237
of 614 outputs
Outputs of similar age
#169,555
of 320,336 outputs
Outputs of similar age from Knowledge and Information Systems
#1
of 2 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 614 research outputs from this source. They receive a mean Attention Score of 2.3. This one has gotten more attention than average, scoring higher than 59% 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 320,336 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
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