Evidence map›Paper›PMID 35425081›Full record

ArticleRSC advances2022

Transfer hydrogenation of nitroarenes using cellulose filter paper-supported Pd/C by filtration as well as sealed methods.

Dmitry Olegovich Bokov, Mustafa Z Mahmoud, Gunawan Widjaja, Wanich Suksatan, Supat Chupradit, Usama S Altimari, Hussein Ali Hussein, Yasser Fakri Mustafa, Milad Kazemnejadi

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

Article in RSC advances, 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
1.6field-weighted citation impact, top 18% 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, 15 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

9 authors at 9 institutions in 7 countries.

Dmitry Olegovich BokovInstitute of Pharmacy, Sechenov First Moscow State Medical University 8 Trubetskaya St., bldg. 2 Moscow 119991 Russian Federation.
Mustafa Z MahmoudDepartment of Radiology and Medical Imaging, College of Applied Medical Sciences, Prince Sattam bin Abdulaziz University Al-Kharj 11942 Saudi Arabia.
Gunawan WidjajaPostgraduate Study, Universitas Krisnadwipayana Bekasi Indonesia.
Wanich SuksatanFaculty of Nursing, HRH Princess Chulabhorn College of Medical Science, Chulabhorn Royal Academy Bangkok Thailand.
Supat ChupraditDepartment of Occupational Therapy, Faculty of Associated Medical Sciences, Chiang Mai University Chiang Mai 50200 Thailand.
Usama S AltimariAl-Nisour University College Baghdad Iraq.
Hussein Ali HusseinScientific Research Center, Al-Ayen University Thi-Qar Iraq.
Yasser Fakri MustafaDepartment of Pharmaceutical Chemistry, College of Pharmacy, University of Mosul Mosul-41001 Iraq.ORCID https://orcid.org/0000-0002-0926-7428
Milad KazemnejadiDepartment of Chemistry, College of Sciences, Shiraz University Shiraz 71946-84795 Iran miladkazemneja@yahoo.com.ORCID https://orcid.org/0000-0002-5424-9640
Al-Nisour University College · IQChiang Mai University · THChulabhorn Hospital · THPrince Sattam Bin Abdulaziz University · SASechenov University · RUShiraz University · IRThi Qar University · IQUniversity of Indonesia · IDUniversity of Mosul · IQ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A reductive filter paper for selective nitro reduction has been prepared by modification of a pristine cellulose filter paper by Pd/C nanoparticles, as a portable catalyst. The reaction was performed in two different set-ups including (i) filtration and (ii) sealed systems, in the presence of ammonium formate and

Identifiers

PMID35425081
PMCPMC8988863
OpenAlexW4224048622

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.