Evidence map›Paper›PMID 37374776›Full record

ArticleMicromachines2023

Au-TiO

Sumaiya Akhtar Mitu, Kawsar Ahmed, Francis M Bui, Li Chen, Lassaad K Smirani, Shobhit K Patel, Vishal Sorathiya

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Micromachines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 48% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

7 authors at 5 institutions in 4 countries.

Sumaiya Akhtar MituDepartment of Information Technology, University of Information Technology & Sciences (UITS), Dhaka 1212, Bangladesh.ORCID 0000-0001-8951-1891
Kawsar AhmedGroup of Biophotomatiχ, Department of Information and Communication Technology (ICT), Mawlana Bhashani Science and Technology University (MBSTU), Tangail 1902, Bangladesh.ORCID 0000-0002-4034-9819
Francis M BuiDepartment of Electrical and Computer Engineering, University of Saskatchewan, Saskatoon, SK S7N 5A9, Canada.ORCID 0000-0002-8799-5965
Li ChenDepartment of Electrical and Computer Engineering, University of Saskatchewan, Saskatoon, SK S7N 5A9, Canada.ORCID 0000-0002-3769-1488
Lassaad K SmiraniThe Deanship of Information Technology and E-learning, Umm Al-Qura University, Mecca 24382, Saudi Arabia.ORCID 0000-0003-3195-6278
Shobhit K PatelComputer Engineering Department, Marwadi University, Rajkot 360003, India.ORCID 0000-0002-0117-2440
Vishal SorathiyaFaculty of Engineering and Technology, Parul Institute of Engineering and Technology, Parul University, Vadodara 391760, India.ORCID 0000-0002-6121-5940
University of Saskatchewan · CAMarwadi University · INParul University · INUmm al-Qura University · SAUniversity of Information Technology and Sciences · BD

Funding

Deanship of Scientific Research at Umm Al-Qura University 23UQU4340560DSR11Natural Sciences and Engineering Research Council N/A
6 · The paper itself

Abstract

Human tooth functionality is the most important for the human body to become fit and healthy. Due to the disease attacks in human teeth, parts may lead to different fatal diseases. A spectroscopy-based photonic crystal fiber (PCF) sensor was simulated and numerically analyzed for the detection of dental disorders in the human body. In this sensor structure, SF11 is used as the base material, gold (Au) is used as the plasmonic material, and TiO

Indexed as

aqueous solutiondental disordersquantitative analysisspectroscopySPR sensorteeth disorder detection

Identifiers

PMID37374776
PMCPMC10303502
OpenAlexW4379141449

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.