Evidence map›Paper›PMID 35479991›Full record

ArticleRSC advances2021

Sensor behavior of MoS

Md Iftekharul Alam, Tsuyoshi Takaoka, Hiroki Waizumi, Yudai Tanaka, Muhammad Shamim Al Mamun, Atsushi Ando, Tadahiro Komeda

Open access · goldAbstract read
In one paragraph

Article in RSC advances, 2021. 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
0.6field-weighted citation impact, top 40% of its field
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, 9 citations in OpenAlex.

  1. Article
  2. Interface analysis of oxide free MoSScientific reports · 2024
    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

7 authors at 2 institutions in 2 countries.

Md Iftekharul AlamDepartment of Chemistry, Graduate School of Science, Tohoku University 6-3, Aramaki-Aza-Aoba, Aoba-Ku Sendai 980-8578 Japan.
Tsuyoshi TakaokaInstitute of Multidisciplinary Research for Advanced Materials (IMRAM, Tagen), Tohoku University 2-1-1, Katahira, Aoba-Ku Sendai 980-0877 Japan tsuyoshi.takaoka.b1@tohoku.ac.jp tadahiro.komeda.a1@tohoku.ac.jp.
Hiroki WaizumiDepartment of Chemistry, Graduate School of Science, Tohoku University 6-3, Aramaki-Aza-Aoba, Aoba-Ku Sendai 980-8578 Japan.
Yudai TanakaDepartment of Chemistry, Graduate School of Science, Tohoku University 6-3, Aramaki-Aza-Aoba, Aoba-Ku Sendai 980-8578 Japan.
Muhammad Shamim Al MamunDepartment of Chemistry, Graduate School of Science, Tohoku University 6-3, Aramaki-Aza-Aoba, Aoba-Ku Sendai 980-8578 Japan.
Atsushi AndoDevice Technology Research Institute, National Institute of Advanced Industrial Science and Technology (AIST) 1-1-1 Umezono Tsukuba Ibaraki 305-8568 Japan.
Tadahiro KomedaInstitute of Multidisciplinary Research for Advanced Materials (IMRAM, Tagen), Tohoku University 2-1-1, Katahira, Aoba-Ku Sendai 980-0877 Japan tsuyoshi.takaoka.b1@tohoku.ac.jp tadahiro.komeda.a1@tohoku.ac.jp.ORCID https://orcid.org/0000-0003-2342-8184
Sendai University · JPIntegrated Device Technology (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The application of field-effect transistor (FET) devices with atomically thin channels as sensors has attracted significant attention, where the adsorption of atoms/molecules on the channels can be detected by the change in the properties of FET. Thus, to further enhance the chemical sensitivity of FETs, we developed a method to distinguish the chemical properties of adsorbates from the electric behavior of FET devices. Herein, we explored the variation in the FET properties of an MoS

Identifiers

PMID35479991
PMCPMC9037302
OpenAlexW3194146271

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.