Evidence map›Paper›PMID 35161476›Full record

ReviewSensors (Basel, Switzerland)2022

A Comprehensive Survey on the Internet of Things with the Industrial Marketplace.

Kazhan Othman Mohammed Salih, Tarik A Rashid, Dalibor Radovanovic, Nebojsa Bacanin

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2022. 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
  2. Review
  3. Article
  4. Article
  5. Review
  6. Review
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.

Kazhan Othman Mohammed SalihProject Management Department, College of Commerce, University of Sulaimani, Sulaimani 46001, KRG, Iraq.
Tarik A RashidComputer Science and Engineering, School of Science and Engineering, University of Kurdistan Hewler, Erbil 44001, KRG, Iraq.ORCID 0000-0002-8661-258X
Dalibor RadovanovicDepartman of Informatics and Computing, Faculty of Informatics and Computing, Singidunum University, Danijelova 32, 11000 Belgrade, Serbia.ORCID 0000-0001-7954-6011
Nebojsa BacaninDepartman of Informatics and Computing, Faculty of Informatics and Computing, Singidunum University, Danijelova 32, 11000 Belgrade, Serbia.ORCID 0000-0002-2062-924X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is no doubt that new technology has become one of the crucial parts of most people's lives around the world. By and large, in this era, the Internet and the Internet of Things (IoT) have become the most indispensable parts of our lives. Recently, IoT technologies have been regarded as the most broadly used tools among other technologies. The tools and the facilities of IoT technologies within the marketplace are part of Industry 4.0. The marketplace is too regarded as a new area that can be used with IoT technologies. One of the main purposes of this paper is to highlight using IoT technologies in Industry 4.0, and the Industrial Internet of Things (IIoT) is another feature revised. This paper focuses on the value of the IoT in the industrial domain in general; it reviews the IoT and focuses on its benefits and drawbacks, and presents some of the IoT applications, such as in transportation and healthcare. In addition, the trends and facts that are related to the IoT technologies on the marketplace are reviewed. Finally, the role of IoT in telemedicine and healthcare and the benefits of IoT technologies for COVID-19 are presented as well.

Indexed as

COVID-19Internet of ThingsTelemedicineHumansIndustryInternetSARS-CoV-2COVID-19IIoTIndustry 4.0IoTIoT applicationsmarketplacetelemedicine

Identifiers

PMID35161476
PMCPMC8840330

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.