Evidence map›Paper›PMID 31712700›Full record

ArticleScientific reports2019

Unfolding the innovation system for the development of countries: coevolution of Science, Technology and Production.

Emanuele Pugliese, Giulio Cimini, Aurelio Patelli, Andrea Zaccaria, Luciano Pietronero, Andrea Gabrielli

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

29 citing papers in PubMed.

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  14. Green innovation and income inequality: A complex system analysis.Structural change and economic dynamics · 2022
    Article
  15. Article
  16. Article
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  18. Asymmetric Relatedness from Partial Correlation.Entropy (Basel, Switzerland) · 2022
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Emanuele PuglieseIstituto dei Sistemi Complessi (ISC)-CNR, 00185, Rome, Italy.
Giulio CiminiIstituto dei Sistemi Complessi (ISC)-CNR, 00185, Rome, Italy. giulio.cimini@roma1.infn.it.ORCID http://orcid.org/0000-0001-5698-8597
Aurelio PatelliIstituto dei Sistemi Complessi (ISC)-CNR, 00185, Rome, Italy.
Andrea ZaccariaIstituto dei Sistemi Complessi (ISC)-CNR, 00185, Rome, Italy.ORCID http://orcid.org/0000-0002-4478-3292
Luciano PietroneroIstituto dei Sistemi Complessi (ISC)-CNR, 00185, Rome, Italy.
Andrea GabrielliIstituto dei Sistemi Complessi (ISC)-CNR, 00185, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We show that the space in which scientific, technological and economic activities interplay with each other can be mathematically shaped using techniques from statistical physics of networks. We build a holistic view of the innovation system as the tri-layered network of interactions among these many activities (scientific publication, patenting, and industrial production in different sectors), also taking into account the possible time delays. Within this construction we can identify which capabilities and prerequisites are needed to be competitive in a given activity, and even measure how much time is needed to transform, for instance, the technological know-how into economic wealth and scientific innovation, being able to make predictions with a very long time horizon. We find empirical evidence that, at the aggregate scale, technology is the best predictor for industrial and scientific production over the upcoming decades.

Identifiers

PMID31712700
PMCPMC6848202

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.