Evidence map›Paper›PMID 30813277›Full record

ReviewSensors (Basel, Switzerland)2019

Toward Digitalization of Maritime Transport?

Pedro-Luis Sanchez-Gonzalez, David Díaz-Gutiérrez, Teresa J Leo, Luis R Núñez-Rivas

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Ports Digitalization Level Evaluation.Sensors (Basel, Switzerland) · 2021
    Article
  3. 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

4 authors.

Pedro-Luis Sanchez-GonzalezEscuela Técnica Superior de Ingenieros Navales, Universidad Politécnica de Madrid (UPM). Av. Arco de la Victoria, 4, 28040 Madrid, Spain. pl.sanchez@alumnos.upm.es.
David Díaz-GutiérrezEscuela Técnica Superior de Ingenieros Navales, Universidad Politécnica de Madrid (UPM). Av. Arco de la Victoria, 4, 28040 Madrid, Spain. david.diaz@upm.es.
Teresa J LeoEscuela Técnica Superior de Ingenieros Navales, Universidad Politécnica de Madrid (UPM). Av. Arco de la Victoria, 4, 28040 Madrid, Spain. teresa.leo.mena@upm.es.
Luis R Núñez-RivasEscuela Técnica Superior de Ingenieros Navales, Universidad Politécnica de Madrid (UPM). Av. Arco de la Victoria, 4, 28040 Madrid, Spain. luisramon.nunez@upm.es.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although maritime transport is the backbone of world commerce, its digitalization lags significantly behind when we consider some basic facts. This work verifies the state-of-the-art as it currently applies to eight digital domains: Autonomous vehicles and robotics; artificial intelligence; big data; virtual reality, augmented and mixed reality; internet of things; the cloud and edge computing; digital security; and 3D printing and additive engineering. It also provides insight into each of the three sectors into which this industry has been divided: Ship design and shipbuilding; shipping; and ports. The work, based on a systematic literature review, demonstrates that there are domains on which almost no formal study has been done thus far and concludes that there are major areas that require attention in terms of research. It also illustrates the increasing interest on the subject, arising from the necessity of raising the maritime transport industry to the same level of digitalization as other industries.

Indexed as

additive engineeringartificial intelligencebig datacloud computingdigitalizationinternet of thingsmaritime transportroboticsvirtual reality

Identifiers

PMID30813277
PMCPMC6413017

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.