Evidence map›Paper›PMID 28574486›Full record

ArticleSensors (Basel, Switzerland)2017

Magnetoelectric Current Sensors.

Mirza Bichurin, Roman Petrov, Viktor Leontiev, Gennadiy Semenov, Oleg Sokolov

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. BiFeONanomaterials (Basel, Switzerland) · 2026
    Review
  2. Magnetoelectric Sensor Operating inSensors (Basel, Switzerland) · 2024
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Self-Biased Bidomain LiNbOSensors (Basel, Switzerland) · 2020
    Article
  9. Article
  10. Review
  11. Article
  12. 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

5 authors.

Mirza BichurinDepartment of Design and Technology of Radioequipment, Novgorod State University, Veliky Novgorod 173003, Russia. Mirza.Bichurin@novsu.ru.
Roman PetrovDepartment of Design and Technology of Radioequipment, Novgorod State University, Veliky Novgorod 173003, Russia. initra@yandex.ru.
Viktor LeontievDepartment of Design and Technology of Radioequipment, Novgorod State University, Veliky Novgorod 173003, Russia. viktorsergeevich.novsu@gmail.com.
Gennadiy SemenovDepartment of Design and Technology of Radioequipment, Novgorod State University, Veliky Novgorod 173003, Russia. Gennady.Semenov@novsu.ru.
Oleg SokolovDepartment of Design and Technology of Radioequipment, Novgorod State University, Veliky Novgorod 173003, Russia. o-v-sokolov@mail.ru.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this work a magnetoelectric (ME) current sensor design based on a magnetoelectric effect is presented and discussed. The resonant and non-resonant type of ME current sensors are considered. Theoretical calculations of the ME current sensors by the equivalent circuit method were conducted. The application of different sensors using the new effects, for example, the ME effect, is made possible with the development of new ME composites. A large number of studies conducted in the field of new composites, allowed us to obtain a high magnetostrictive-piezoelectric laminate sensitivity. An optimal ME structure composition was matched. The characterization of a non-resonant current sensor showed that in the operation range to 5 A, the sensor had a sensitivity of 0.34 V/A, non-linearity less than 1% and for a resonant current sensor in the same operation range, the sensitivity was of 0.53 V/A, non-linearity less than 0.5%.

Indexed as

current sensormagnetoelectric effectmagnetoelectricitysensor design

Identifiers

PMID28574486
PMCPMC5492471

What OpenQuestion holds

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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.