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Schumpeterian patterns of innovation and the sources of breakthrough inventions: evidence from a data-set of R

Overview of attention for article published in Journal of Evolutionary Economics, July 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

policy
1 policy source
twitter
2 X users

Citations

dimensions_citation
28 Dimensions

Readers on

mendeley
66 Mendeley
citeulike
1 CiteULike
Title
Schumpeterian patterns of innovation and the sources of breakthrough inventions: evidence from a data-set of R&D awards
Published in
Journal of Evolutionary Economics, July 2012
DOI 10.1007/s00191-012-0287-z
Authors

Roberto Fontana, Alessandro Nuvolari, Hiroshi Shimizu, Andrea Vezzulli

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 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Finland 1 2%
Italy 1 2%
Taiwan 1 2%
United Kingdom 1 2%
Unknown 60 91%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 20%
Student > Ph. D. Student 12 18%
Professor > Associate Professor 8 12%
Researcher 6 9%
Student > Doctoral Student 6 9%
Other 12 18%
Unknown 9 14%
Readers by discipline Count As %
Business, Management and Accounting 22 33%
Economics, Econometrics and Finance 18 27%
Social Sciences 6 9%
Computer Science 5 8%
Agricultural and Biological Sciences 1 2%
Other 2 3%
Unknown 12 18%
Attention Score in Context

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 20 April 2015.
All research outputs
#5,957,995
of 22,671,366 outputs
Outputs from Journal of Evolutionary Economics
#82
of 303 outputs
Outputs of similar age
#41,807
of 164,410 outputs
Outputs of similar age from Journal of Evolutionary Economics
#2
of 5 outputs
Altmetric has tracked 22,671,366 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 303 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 72% 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 164,410 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 74% 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 3 of them.