Evidence map›Paper›PMID 36467907›Full record

ArticleACS omega2022

Toward Continuous Breath Monitoring on a Mobile Phone Using a Frugal Conducting Cloth-Based Smart Mask.

Pillalamarri Srikrishnarka, Raaga Madhuri Dasi, Sourav Kanti Jana, Tripti Ahuja, Jenifer Shantha Kumar, Ankit Nagar, Amoghavarsha Ramachandra Kini, Boby George, Thalappil Pradeep

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

Article in ACS omega, 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
0.9field-weighted citation impact, top 30% 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

2 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. 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

9 authors at 1 institution in 1 country.

Pillalamarri SrikrishnarkaDST Unit of Nanoscience and Thematic Unit of Excellence, Department of Chemistry, Indian Institute of Technology, Chennai 600036, India.ORCID https://orcid.org/0000-0001-5187-6879
Raaga Madhuri DasiDepartment of Electrical Engineering, Indian Institute of Technology, Chennai 600036, India.ORCID https://orcid.org/0000-0002-1166-318X
Sourav Kanti JanaDST Unit of Nanoscience and Thematic Unit of Excellence, Department of Chemistry, Indian Institute of Technology, Chennai 600036, India.ORCID https://orcid.org/0000-0001-5772-7022
Tripti AhujaDST Unit of Nanoscience and Thematic Unit of Excellence, Department of Chemistry, Indian Institute of Technology, Chennai 600036, India.
Jenifer Shantha KumarDST Unit of Nanoscience and Thematic Unit of Excellence, Department of Chemistry, Indian Institute of Technology, Chennai 600036, India.
Ankit NagarDST Unit of Nanoscience and Thematic Unit of Excellence, Department of Chemistry, Indian Institute of Technology, Chennai 600036, India.
Amoghavarsha Ramachandra KiniDST Unit of Nanoscience and Thematic Unit of Excellence, Department of Chemistry, Indian Institute of Technology, Chennai 600036, India.
Boby GeorgeDepartment of Electrical Engineering, Indian Institute of Technology, Chennai 600036, India.
Thalappil PradeepDST Unit of Nanoscience and Thematic Unit of Excellence, Department of Chemistry, Indian Institute of Technology, Chennai 600036, India.ORCID https://orcid.org/0000-0003-3174-534X
Indian Institute of Technology Madras · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A frugal humidity sensor that can detect changes in the humidity of exhaled breath of individuals has been fabricated. The sensor comprises a humidity-sensitive conducting polymer that is

Identifiers

PMID36467907
PMCPMC9713799
OpenAlexW4309146498

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.