Evidence map›Paper›PMID 35683864›Full record

ArticlePolymers2022

Modified Polymeric Biosorbents from

Carlos A Ligarda-Samanez, David Choque-Quispe, Henry Palomino-Rincón, Betsy S Ramos-Pacheco, Elibet Moscoso-Moscoso, Mary L Huamán-Carrión, Diego E Peralta-Guevara, Mirian E Obregón-Yupanqui, Jimmy Aroni-Huamán, Eyner Y Bravo-Franco and 2 more

Abstract read
In one paragraph

Article in Polymers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

12 authors.

Carlos A Ligarda-SamanezFood Nanotechnology Research Laboratory, Universidad Nacional José María Arguedas, Andahuaylas 03701, Peru.ORCID 0000-0001-7519-8355
David Choque-QuispeWater Analysis and Control Research Laboratory, Universidad Nacional José María Arguedas, Andahuaylas 03701, Peru.ORCID 0000-0003-4002-7526
Henry Palomino-RincónAgroindustrial Engineering, Universidad Nacional José María Arguedas, Andahuaylas 03701, Peru.
Betsy S Ramos-PachecoAgroindustrial Engineering, Universidad Nacional José María Arguedas, Andahuaylas 03701, Peru.
Elibet Moscoso-MoscosoFood Nanotechnology Research Laboratory, Universidad Nacional José María Arguedas, Andahuaylas 03701, Peru.
Mary L Huamán-CarriónFood Nanotechnology Research Laboratory, Universidad Nacional José María Arguedas, Andahuaylas 03701, Peru.
Diego E Peralta-GuevaraWater Analysis and Control Research Laboratory, Universidad Nacional José María Arguedas, Andahuaylas 03701, Peru.ORCID 0000-0003-2988-0809
Mirian E Obregón-YupanquiAgroindustrial Engineering, Universidad Nacional José María Arguedas, Andahuaylas 03701, Peru.
Jimmy Aroni-HuamánAgroindustrial Engineering, Universidad Nacional José María Arguedas, Andahuaylas 03701, Peru.
Eyner Y Bravo-FrancoFaculty of Business Sciences, Universidad Nacional José María Arguedas, Andahuaylas 03701, Peru.
Wilbert Palomino-RincónAgricultural and Livestock Engineering, Universidad Nacional San Antonio Abad, Cusco 08000, Peru.
Germán De la CruzAgricultural Science Facultad, Universidad Nacional San Cristobal de Huamanga, Ayacucho 05000, Peru.ORCID 0000-0001-7618-799X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The contamination of water resources by effluents from various industries often contains heavy metals, which cause irreversible damage to the environment and health. The objective was to evaluate different biosorbents from the weed

Indexed as

biosorptionheavy metalsmetal removalmodified biomassRumex acetosella

Identifiers

PMID35683864
PMCPMC9183189

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.