Evidence map›Paper›PMID 36502119›Full record

ArticleSensors (Basel, Switzerland)2022

Evolution of Sensor Research for Clarifying the Dynamics and Properties of Future Directions.

Mario Coccia, Saeed Roshani, Melika Mosleh

Abstract read
In one paragraph

Article 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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

3 authors.

Mario CocciaDepartment of Social Sciences and Humanities, CNR-National Research Council of Italy, 10135 Torino, Italy.ORCID 0000-0003-1957-6731
Saeed RoshaniDepartment of Technology and Entrepreneurship Management, Faculty of Management and Accounting, Allameh Tabataba'i University, Tehran 1489684511, Iran.ORCID 0000-0001-5851-2867
Melika MoslehBirmingham Business School, College of Social Sciences, University of Birmingham, Birmingham B15 2SQ, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The principal goal of this study is to analyze the evolution of sensor research and technologies from 1990 to 2020 to clarify outlook and future directions. This paper applies network analysis to a large dataset of publications concerning sensor research covering a 30-year period. Results show that the evolution of sensors is based on growing scientific interactions within networks, between different research fields that generate co-evolutionary pathways directed to develop general-purpose and/or specialized technologies, such as wireless sensors, biosensors, fiber-optic, and optical sensors, having manifold applications in industries. These results show new directions of sensor research that can drive R&D investments toward promising technological trajectories of sensors, exhibiting a high potential of growth to support scientific, technological, industrial, and socioeconomic development.

Indexed as

Biosensing TechniquesWireless TechnologyFiber Optic Technologybiosensorsfiber-optic sensorsindustrial changeinnovation managementnetwork analysisscience dynamicsscientific changescientific developmentsensor researchsensor technologytechnological changetechnological trajectorieswireless sensor networks

Identifiers

PMID36502119
PMCPMC9737933

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.