↓ Skip to main content

How the Taxonomy of Products Drives the Economic Development of Countries

Overview of attention for article published in PLoS ONE, December 2014
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

news
1 news outlet
twitter
5 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
31 Dimensions

Readers on

mendeley
57 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
How the Taxonomy of Products Drives the Economic Development of Countries
Published in
PLoS ONE, December 2014
DOI 10.1371/journal.pone.0113770
Pubmed ID
Authors

Andrea Zaccaria, Matthieu Cristelli, Andrea Tacchella, Luciano Pietronero

Abstract

We introduce an algorithm able to reconstruct the relevant network structure on which the time evolution of country-product bipartite networks takes place. The significant links are obtained by selecting the largest values of the projected matrix. We first perform a number of tests of this filtering procedure on synthetic cases and a toy model. Then we analyze the bipartite network constituted by countries and exported products, using two databases for a total of almost 50 years. It is then possible to build a hierarchically directed network, in which the taxonomy of products emerges in a natural way. We study the influence of the structure of this taxonomy network on countries' development; in particular, guided by an example taken from the industrialization of South Korea, we link the structure of the taxonomy network to the empirical temporal connections between product activations, finding that the most relevant edges for countries' development are the ones suggested by our network. These results suggest paths in the product space which are easier to achieve, and so can drive countries' policies in the industrialization process.

Twitter Demographics

The data shown below were collected from the profiles of 5 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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 2%
Belgium 1 2%
Unknown 55 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 26%
Researcher 12 21%
Student > Master 11 19%
Student > Bachelor 5 9%
Student > Doctoral Student 3 5%
Other 8 14%
Unknown 3 5%
Readers by discipline Count As %
Economics, Econometrics and Finance 16 28%
Physics and Astronomy 7 12%
Business, Management and Accounting 6 11%
Engineering 6 11%
Mathematics 4 7%
Other 10 18%
Unknown 8 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 21 April 2017.
All research outputs
#1,322,646
of 14,546,169 outputs
Outputs from PLoS ONE
#20,333
of 150,380 outputs
Outputs of similar age
#19,946
of 192,794 outputs
Outputs of similar age from PLoS ONE
#491
of 2,556 outputs
Altmetric has tracked 14,546,169 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 150,380 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.6. This one has done well, scoring higher than 86% 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 192,794 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 2,556 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.