Evidence map›Paper›PMID 33286142›Full record

ArticleEntropy (Basel, Switzerland)2020

Entropy as a Measure of Attractiveness and Socioeconomic Complexity in Rio de Janeiro Metropolitan Area.

Maxime Lenormand, Horacio Samaniego, Júlio César Chaves, Vinícius da Fonseca Vieira, Moacyr Alvim Horta Barbosa da Silva, Alexandre Gonçalves Evsukoff

Abstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  5. Article
  6. Information Theory for Human and Social Processes.Entropy (Basel, Switzerland) · 2020
    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.

Maxime LenormandTETIS, Univ Montpellier, AgroParisTech, Cirad, CNRS, INRAE, 34000 Montpellier, France.ORCID 0000-0001-6362-3473
Horacio SamaniegoLaboratorio de Ecoinformática, Instituto de Conservación Biodiersidad y Territorio, Campus Isla Teja s/n, Valdivia 5110290, Chile.ORCID 0000-0002-2485-9827
Júlio César ChavesGetulio Vargas Foundation, Praia de Botafogo 190, Rio de Janeiro, RJ, 22250-900, Brazil.
Vinícius da Fonseca VieiraDepartment of Computer Science, Federal University of São João Del Rey, Sao João Del Rey, MG, 36301-360, Brazil.
Moacyr Alvim Horta Barbosa da SilvaGetulio Vargas Foundation, Praia de Botafogo 190, Rio de Janeiro, RJ, 22250-900, Brazil.
Alexandre Gonçalves EvsukoffCoppe/Federal University of Rio de Janeiro, P.O. Box 68506, Rio de Janeiro, RJ 22941-972, Brazil.

Funding

Agence Nationale de la Recherche ANR-17-CE03-0003FONDECYT-CONICYT 1161280Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro E-26/110.725/2012
6 · The paper itself

Abstract

Defining and measuring spatial inequalities across the urban environment remains a complex and elusive task which has been facilitated by the increasing availability of large geolocated databases. In this study, we rely on a mobile phone dataset and an entropy-based metric to measure the attractiveness of a location in the Rio de Janeiro Metropolitan Area (Brazil) as the diversity of visitors' location of residence. The results show that the attractiveness of a given location measured by entropy is an important descriptor of the socioeconomic status of the location, and can thus be used as a proxy for complex socioeconomic indicators.

Indexed as

attractivenessmobile phone dataurban computingurban entropyurban mobility

Identifiers

PMID33286142
PMCPMC7516840

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.