Evidence map›Paper›PMID 36013825›Full record

ArticleMaterials (Basel, Switzerland)2022

Obtaining of Formaldehyde Modified Tars and Road Materials on Their Basis.

Katarzyna Pstrowska, Volodymyr Gunka, Yuriy Prysiazhnyi, Yuriy Demchuk, Yurii Hrynchuk, Iurii Sidun, Marek Kułażyński, Michael Bratychak

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

Article in Materials (Basel, Switzerland), 2022. 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
2.2field-weighted citation impact, top 14% 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, 19 citations in OpenAlex.

  1. 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

8 authors at 2 institutions in 2 countries.

Katarzyna PstrowskaDepartment of Advanced Materials Technologies, Wroclaw University of Science and Technology, 7/9 Gdańska Street, 50-344 Wroclaw, Poland.ORCID 0000-0003-2082-4624
Volodymyr GunkaInstitute of Chemistry and Chemical Technology, Lviv Polytechnic National University, 12 Bandera Street, 79013 Lviv, Ukraine.ORCID 0000-0002-3480-0693
Yuriy PrysiazhnyiInstitute of Chemistry and Chemical Technology, Lviv Polytechnic National University, 12 Bandera Street, 79013 Lviv, Ukraine.
Yuriy DemchukInstitute of Chemistry and Chemical Technology, Lviv Polytechnic National University, 12 Bandera Street, 79013 Lviv, Ukraine.ORCID 0000-0001-7983-5067
Yurii HrynchukInstitute of Chemistry and Chemical Technology, Lviv Polytechnic National University, 12 Bandera Street, 79013 Lviv, Ukraine.
Iurii SidunInstitute of Building and Environmental Engineering, Lviv Polytechnic National University, 12 Bandera Street, 79013 Lviv, Ukraine.
Marek KułażyńskiInnovation and Implementation Company Ekomotor Ltd., 1A Wyścigowa Street, 53-011 Wroclaw, Poland.ORCID 0000-0002-9316-0630
Michael BratychakInstitute of Chemistry and Chemical Technology, Lviv Polytechnic National University, 12 Bandera Street, 79013 Lviv, Ukraine.
Lviv Polytechnic National University · UAWrocław University of Science and Technology · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The process of chemical modification of tar and oxidized bitumen with formalin (a 37% aqueous solution of formaldehyde) in a hermetic container was investigated and the effectiveness of the proposed process was proven. It is shown that the most effective raw material for the process is tar, not oxidized bitumen. The expediency and impact of using different types of solvents (toluene,

Indexed as

asphalt concretebitumenformaldehydeformalintar

Identifiers

PMID36013825
PMCPMC9415437
OpenAlexW4292247639

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.