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Economic impact modelling of smart specialization policy: Which industries should prioritization target?

Overview of attention for article published in Papers in Regional Science, April 2020
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
7 tweeters

Readers on

mendeley
9 Mendeley
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Title
Economic impact modelling of smart specialization policy: Which industries should prioritization target?
Published in
Papers in Regional Science, April 2020
DOI 10.1111/pirs.12529
Authors

Attila Varga, Norbert Szabó, Tamás Sebestyén

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.

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 33%
Student > Doctoral Student 2 22%
Lecturer 1 11%
Student > Master 1 11%
Researcher 1 11%
Other 0 0%
Unknown 1 11%
Readers by discipline Count As %
Economics, Econometrics and Finance 4 44%
Business, Management and Accounting 1 11%
Arts and Humanities 1 11%
Neuroscience 1 11%
Unknown 2 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 22 April 2020.
All research outputs
#4,196,597
of 16,047,868 outputs
Outputs from Papers in Regional Science
#84
of 671 outputs
Outputs of similar age
#92,056
of 279,869 outputs
Outputs of similar age from Papers in Regional Science
#5
of 26 outputs
Altmetric has tracked 16,047,868 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 671 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 87% 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 279,869 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 66% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.