Title |
Technological unemployment and income inequality: a stock-flow consistent agent-based approach
|
---|---|
Published in |
Journal of Evolutionary Economics, June 2019
|
DOI | 10.1007/s00191-019-00628-9 |
Authors |
Laura Carvalho, Corrado Di Guilmi |
X Demographics
The data shown below were collected from the profiles of 31 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 14 | 45% |
United States | 2 | 6% |
Japan | 1 | 3% |
Portugal | 1 | 3% |
United Kingdom | 1 | 3% |
Unknown | 12 | 39% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 21 | 68% |
Scientists | 8 | 26% |
Science communicators (journalists, bloggers, editors) | 2 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 33 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 6 | 18% |
Student > Bachelor | 4 | 12% |
Student > Ph. D. Student | 4 | 12% |
Lecturer | 2 | 6% |
Student > Doctoral Student | 2 | 6% |
Other | 6 | 18% |
Unknown | 9 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Economics, Econometrics and Finance | 11 | 33% |
Business, Management and Accounting | 3 | 9% |
Unspecified | 2 | 6% |
Environmental Science | 2 | 6% |
Social Sciences | 2 | 6% |
Other | 1 | 3% |
Unknown | 12 | 36% |
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 20 November 2019.
All research outputs
#1,597,567
of 25,658,139 outputs
Outputs from Journal of Evolutionary Economics
#7
of 347 outputs
Outputs of similar age
#33,893
of 367,782 outputs
Outputs of similar age from Journal of Evolutionary Economics
#1
of 5 outputs
Altmetric has tracked 25,658,139 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 347 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done particularly well, scoring higher than 97% 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 367,782 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 90% of its contemporaries.
We're also able to compare this research output to 5 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