Article in Polymers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
0numbers the graph read from it
0cells of the map it votes in
3citing 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.
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.
Carolina IacovoneLaboratorio de Polímeros y Materiales Compuestos (LPMC), Departamento de Física, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires C1428EGA, Argentina.ORCID 0000-0001-6985-7203
Federico YulitaLaboratorio de Polímeros y Materiales Compuestos (LPMC), Departamento de Física, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires C1428EGA, Argentina.
Daniel CeriniLaboratorio de Polímeros y Materiales Compuestos (LPMC), Departamento de Física, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires C1428EGA, Argentina.
Daniel PeñaLaboratorio de Polímeros y Materiales Compuestos (LPMC), Departamento de Física, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires C1428EGA, Argentina.
Roberto CandalInstituto de Investigación e Ingeniería Ambiental, Escuela de Hábitat y Sostenibilidad, Campus Miguelete, Universidad Nacional de San Martín, San Martín 1650, Provincia de Buenos Aires, Argentina.
Silvia GoyanesLaboratorio de Polímeros y Materiales Compuestos (LPMC), Departamento de Física, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires C1428EGA, Argentina.ORCID 0000-0002-2200-0576
Lía I PietrasantaInstituto de Física de Buenos Aires (IFIBA-CONICET), Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires C1428EGA, Argentina.ORCID 0000-0002-2714-3162
Lucas GuzInstituto de Investigación e Ingeniería Ambiental, Escuela de Hábitat y Sostenibilidad, Campus Miguelete, Universidad Nacional de San Martín, San Martín 1650, Provincia de Buenos Aires, Argentina.
Lucía FamáLaboratorio de Polímeros y Materiales Compuestos (LPMC), Departamento de Física, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires C1428EGA, Argentina.ORCID 0000-0001-6077-7004
Funding
Agencia Nacional de Promoción Científica y Tecnológica PICT 2017-2362Agencia Nacional de Promoción Científica y Tecnológica PICT-2018- 02026Agencia Nacional de Promoción Científica y Tecnológica PICT 2019-2320Agencia Nacional de Promoción Científica y Tecnológica PICT 2019-3263Agencia Nacional de Promoción Científica y Tecnológica PICT 2019-4509Agencia Nacional de Promoción Científica y Tecnológica PICT Start up 2016-4639University of Buenos Aires UBACyT 2018 20020170100381BA
6 · The paper itself
Abstract
Biodegradable polymers have been strongly recognized as an alternative to replace traditional petrochemical plastics, which have become a global problem due to their long persistence in the environment. In this work, the effect of the addition of titanium dioxide nanoparticles (TiO
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.