Article in Antioxidants (Basel, Switzerland), 2022. 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
0.3field-weighted citation impact, top 57% 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
3 citing papers in PubMed, 6 citations in OpenAlex.
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 at 4 institutions in 2 countries.
Bernardo DuarteMARE-Marine and Environmental Sciences Centre & ARNET-Aquatic Research Infrastructure Network Associated Laboratory, Faculdade de Ciências da Universidade de Lisboa, Campo Grande, 1749-016 Lisbon, Portugal.ORCID 0000-0003-1914-7435
Eduardo FeijãoMARE-Marine and Environmental Sciences Centre & ARNET-Aquatic Research Infrastructure Network Associated Laboratory, Faculdade de Ciências da Universidade de Lisboa, Campo Grande, 1749-016 Lisbon, Portugal.ORCID 0000-0002-7109-7925
Ricardo Cruz de CarvalhoMARE-Marine and Environmental Sciences Centre & ARNET-Aquatic Research Infrastructure Network Associated Laboratory, Faculdade de Ciências da Universidade de Lisboa, Campo Grande, 1749-016 Lisbon, Portugal.ORCID 0000-0003-4612-9013
Ana Rita MatosDepartamento de Biologia Vegetal, Faculdade de Ciências da Universidade de Lisboa, Campo Grande, 1749-016 Lisbon, Portugal.ORCID 0000-0002-3495-2195
Maria Teresa CabritaCentro de Estudos Geográficos (CEG), Instituto de Geografia e Ordenamento do Território (IGOT), Universidade de Lisboa, Rua Branca Edmée Marques, 1600-276 Lisboa, Portugal.ORCID 0000-0002-4323-4945
Sara C NovaisMARE-Marine and Environmental Sciences Centre & ARNET-Aquatic Research Infrastructure Network Associated Laboratory, ESTM, Politécnico de Leiria, 2520-630 Peniche, Portugal.ORCID 0000-0003-1306-3396
Ariana MoutinhoMARE-Marine and Environmental Sciences Centre & ARNET-Aquatic Research Infrastructure Network Associated Laboratory, ESTM, Politécnico de Leiria, 2520-630 Peniche, Portugal.ORCID 0000-0002-5684-6449
Marco F L LemosMARE-Marine and Environmental Sciences Centre & ARNET-Aquatic Research Infrastructure Network Associated Laboratory, ESTM, Politécnico de Leiria, 2520-630 Peniche, Portugal.ORCID 0000-0001-9887-1864
João Carlos MarquesMARE-Marine and Environmental Sciences Centre & ARNET-Aquatic Research Infrastructure Network Associated Laboratory, Department of Life Sciences, University of Coimbra, 3000 Coimbra, Portugal.
Isabel CaçadorMARE-Marine and Environmental Sciences Centre & ARNET-Aquatic Research Infrastructure Network Associated Laboratory, Faculdade de Ciências da Universidade de Lisboa, Campo Grande, 1749-016 Lisbon, Portugal.
Patrick Reis-SantosSouthern Seas Ecology Laboratories, School of Biological Sciences, The University of Adelaide, Adelaide, SA 5005, Australia.
Vanessa F FonsecaMARE-Marine and Environmental Sciences Centre & ARNET-Aquatic Research Infrastructure Network Associated Laboratory, Faculdade de Ciências da Universidade de Lisboa, Campo Grande, 1749-016 Lisbon, Portugal.ORCID 0000-0002-6374-1194
University of Lisbon · PTInstituto Politécnico de Leiria · PTThe University of Adelaide · AUUniversity of Coimbra · PT
Funding
European Regional Development Fund Centro-01-0145-FEDER-000018Fundação para a Ciência e Tecnologia CEECIND/00511/2017Fundação para a Ciência e Tecnologia DL57/2016/CP1479/CT0024Fundação para a Ciência e Tecnologia LA/P/0069/2020Fundação para a Ciência e Tecnologia PTDC/CTA-AMB/30056/2017Fundação para a Ciência e Tecnologia UIDB/04292/2020Fundação para a Ciência e Tecnologia UID/MULTI/04046/2019Fundação para a Ciência e Tecnologia UIDP/04292/2020
6 · The paper itself
Abstract
The present-day COVID-19 pandemic has led to the increasing daily use of antimicrobials worldwide. Triclosan is a manmade disinfectant chemical used in several consumer healthcare products, and thus frequently detected in surface waters. In the present work, we aimed to evaluate the effect of triclosan on diatom cell photophysiology, fatty acid profiles, and oxidative stress biomarkers, using the diatom
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.
Effect Biomarkers of the Widespread Antimicrobial Triclosan in a Marine Model Diatom. · full record | OpenQuestion