Article in ACS omega, 2024. 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
–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
10 authors.
Ivana K LevyInstituto de Química Física de los Materiales, Medio Ambiente y Energía (INQUIMAE). Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Universidad de Buenos Aires (UBA), Buenos Aires C1428EGA, Argentina.ORCID https://orcid.org/0000-0003-0260-1857
Débora SalustroInstituto de Química Física de los Materiales, Medio Ambiente y Energía (INQUIMAE). Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Universidad de Buenos Aires (UBA), Buenos Aires C1428EGA, Argentina.
Fernando BattagliniInstituto de Química Física de los Materiales, Medio Ambiente y Energía (INQUIMAE). Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Universidad de Buenos Aires (UBA), Buenos Aires C1428EGA, Argentina.ORCID https://orcid.org/0000-0002-1113-1642
Leonardo LizarragaUniversidad de Buenos Aires (UBA), Departamento de Química Inorgánica, Analítica y Química Física. Facultad de Ciencias Exactas y Naturales, Buenos Aires C1428EGA, Argentina.
Daniel H MurgidaInstituto de Química Física de los Materiales, Medio Ambiente y Energía (INQUIMAE). Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Universidad de Buenos Aires (UBA), Buenos Aires C1428EGA, Argentina.ORCID https://orcid.org/0000-0001-5173-0183
Rosalía AgustiCentro de Investigaciones en Hidratos de Carbono (CIHIDECAR), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Universidad de Buenos Aires, Buenos Aires C1428EGA, Argentina.ORCID https://orcid.org/0000-0003-2825-9009
Norma D'AccorsoCentro de Investigaciones en Hidratos de Carbono (CIHIDECAR), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Universidad de Buenos Aires, Buenos Aires C1428EGA, Argentina.
R Martín NegriInstituto de Química Física de los Materiales, Medio Ambiente y Energía (INQUIMAE). Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Universidad de Buenos Aires (UBA), Buenos Aires C1428EGA, Argentina.ORCID https://orcid.org/0000-0003-1427-7927
Funding
No grant is acknowledged in the PubMed record.
6 · The paper itself
Abstract
A methodology for the quantitative analysis of enzymatic removal of biofilms (BF) was developed, based on a quartz crystal microbalance (QCM) under stationary conditions. This was applied to the case of
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.
Quantification of Enzymatic Biofilm Removal Using the Sauerbrey Equation: Application to the Case of · full record | OpenQuestion