Evidence map›Paper›PMID 35479431›Full record

ArticleRSC advances2021

Computer vision

Igor S Kovalev, Leila K Sadieva, Olga S Taniya, Victoria M Yurk, Artem S Minin, Sougata Santra, Grigory V Zyryanov, Valery N Charushin, Oleg N Chupakhin, Mikhail V Tsurkan

Abstract 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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Polyaromatic Hydrocarbon (PAH)-BasedInternational journal of molecular sciences · 2023
    Article
  4. 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

10 authors.

Igor S KovalevUral Federal University named after the first President of Russia B. N. Yeltsin 19 Mira Str., K-2 Yekaterinburg 620002 Russian Federation ekls85@yandex.ru sougatasantra85@gmail.com gvzyryanov@gmail.com.ORCID https://orcid.org/0000-0002-0537-3274
Leila K SadievaUral Federal University named after the first President of Russia B. N. Yeltsin 19 Mira Str., K-2 Yekaterinburg 620002 Russian Federation ekls85@yandex.ru sougatasantra85@gmail.com gvzyryanov@gmail.com.ORCID https://orcid.org/0000-0002-5296-3525
Olga S TaniyaUral Federal University named after the first President of Russia B. N. Yeltsin 19 Mira Str., K-2 Yekaterinburg 620002 Russian Federation ekls85@yandex.ru sougatasantra85@gmail.com gvzyryanov@gmail.com.
Victoria M YurkUral Federal University named after the first President of Russia B. N. Yeltsin 19 Mira Str., K-2 Yekaterinburg 620002 Russian Federation ekls85@yandex.ru sougatasantra85@gmail.com gvzyryanov@gmail.com.
Artem S MininUral Federal University named after the first President of Russia B. N. Yeltsin 19 Mira Str., K-2 Yekaterinburg 620002 Russian Federation ekls85@yandex.ru sougatasantra85@gmail.com gvzyryanov@gmail.com.
Sougata SantraUral Federal University named after the first President of Russia B. N. Yeltsin 19 Mira Str., K-2 Yekaterinburg 620002 Russian Federation ekls85@yandex.ru sougatasantra85@gmail.com gvzyryanov@gmail.com.ORCID https://orcid.org/0000-0002-4186-6105
Grigory V ZyryanovUral Federal University named after the first President of Russia B. N. Yeltsin 19 Mira Str., K-2 Yekaterinburg 620002 Russian Federation ekls85@yandex.ru sougatasantra85@gmail.com gvzyryanov@gmail.com.
Valery N CharushinUral Federal University named after the first President of Russia B. N. Yeltsin 19 Mira Str., K-2 Yekaterinburg 620002 Russian Federation ekls85@yandex.ru sougatasantra85@gmail.com gvzyryanov@gmail.com.
Oleg N ChupakhinUral Federal University named after the first President of Russia B. N. Yeltsin 19 Mira Str., K-2 Yekaterinburg 620002 Russian Federation ekls85@yandex.ru sougatasantra85@gmail.com gvzyryanov@gmail.com.ORCID https://orcid.org/0000-0002-1672-2476
Mikhail V TsurkanLeibnitz Institute for Polymer Research Dresden 01069 Dresden Germany tsurkan@ipfdd.de.ORCID https://orcid.org/0000-0003-4000-3890

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Computer vision (CV) algorithms are widely utilized in imaging processing for medical and personal electronics applications. In sensorics CV can provide a great potential to quantitate chemosensors' signals. Here we wish to describe a method for the CV-assisted spectrofluorometer-free detection of common nitro-explosive components,

Identifiers

PMID35479431
PMCPMC9037216

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.