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A New Metrics for Countries' Fitness and Products' Complexity

Overview of attention for article published in Scientific Reports, October 2012
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
4 news outlets
blogs
2 blogs
policy
4 policy sources
twitter
24 X users
weibo
1 weibo user
facebook
1 Facebook page
wikipedia
2 Wikipedia pages
googleplus
2 Google+ users
reddit
3 Redditors
bluesky
1 Bluesky user

Readers on

mendeley
359 Mendeley
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Article details
Title
A New Metrics for Countries' Fitness and Products' Complexity
Published in
Scientific Reports, October 2012
DOI 10.1038/srep00723
Pubmed ID
Authors
Abstract

Classical economic theories prescribe specialization of countries industrial production. Inspection of the country databases of exported products shows that this is not the case: successful countries are extremely diversified, in analogy with biosystems evolving in a competitive dynamical environment. The challenge is assessing quantitatively the non-monetary competitive advantage of diversification which represents the hidden potential for development and growth. Here we develop a new statistical approach based on coupled non-linear maps, whose fixed point defines a new metrics for the country Fitness and product Complexity. We show that a non-linear iteration is necessary to bound the complexity of products by the fitness of the less competitive countries exporting them. We show that, given the paradigm of economic complexity, the correct and simplest approach to measure the competitiveness of countries is the one presented in this work. Furthermore our metrics appears to be economically well-grounded.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 24 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 359 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Italy 3 <1%
Portugal 2 <1%
Netherlands 2 <1%
United Kingdom 2 <1%
South Africa 1 <1%
Luxembourg 1 <1%
Switzerland 1 <1%
Brazil 1 <1%
Belgium 1 <1%
Other 0 0%
Unknown 345 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 71 20%
Researcher 56 16%
Student > Master 39 11%
Student > Doctoral Student 20 6%
Student > Bachelor 18 5%
Other 62 17%
Unknown 93 26%
Readers by discipline
Readers by discipline Count As %
Economics, Econometrics and Finance 73 20%
Physics and Astronomy 37 10%
Business, Management and Accounting 30 8%
Computer Science 20 6%
Social Sciences 15 4%
Other 66 18%
Unknown 118 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 82. 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 23 September 2026.
All research outputs
#662,867
of 34,391,611 outputs
Outputs from Scientific Reports
#7,190
of 183,950 outputs
Outputs of similar age
#3,212
of 228,950 outputs
Outputs of similar age from Scientific Reports
#13
of 262 outputs
Altmetric has tracked 34,391,611 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 183,950 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.3. This one has done particularly well, scoring higher than 96% 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 228,950 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 98% of its contemporaries.
We're also able to compare this research output to 262 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.