Article in Biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 48% 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
2 citing papers in PubMed, 10 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
14 authors at 2 institutions in 2 countries.
Bernardo DuarteMARE-Marine and Environmental Sciences Centre & ARNET-Aquatic Research 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 Network Associated Laboratory, Faculdade de Ciências da Universidade de Lisboa, Campo Grande, 1749-016 Lisbon, Portugal.
Ricardo Cruz de CarvalhoMARE-Marine and Environmental Sciences Centre & ARNET-Aquatic Research Network Associated Laboratory, Faculdade de Ciências da Universidade de Lisboa, Campo Grande, 1749-016 Lisbon, Portugal.ORCID 0000-0003-4612-9013
Irina A DuarteMARE-Marine and Environmental Sciences Centre & ARNET-Aquatic Research Network Associated Laboratory, Faculdade de Ciências da Universidade de Lisboa, Campo Grande, 1749-016 Lisbon, Portugal.
Ana Patrícia MarquesMARE-Marine and Environmental Sciences Centre & ARNET-Aquatic Research Network Associated Laboratory, Faculdade de Ciências da Universidade de Lisboa, Campo Grande, 1749-016 Lisbon, Portugal.
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 Lisbon, Portugal.ORCID 0000-0002-4323-4945
Isabel CaçadorMARE-Marine and Environmental Sciences Centre & ARNET-Aquatic Research Network Associated Laboratory, Faculdade de Ciências da Universidade de Lisboa, Campo Grande, 1749-016 Lisbon, Portugal.
Andreia FigueiredoDepartamento de Biologia Vegetal, Faculdade de Ciências da Universidade de Lisboa, Campo Grande, 1749-016 Lisbon, Portugal.ORCID 0000-0001-8156-7700
Marta Sousa SilvaMARE-Marine and Environmental Sciences Centre & ARNET-Aquatic Research Network Associated Laboratory, Faculdade de Ciências da Universidade de Lisboa, Campo Grande, 1749-016 Lisbon, Portugal.ORCID 0000-0002-3080-9682
Carlos CordeiroMARE-Marine and Environmental Sciences Centre & ARNET-Aquatic Research Network Associated Laboratory, Faculdade de Ciências da Universidade de Lisboa, Campo Grande, 1749-016 Lisbon, Portugal.
Vanessa F FonsecaMARE-Marine and Environmental Sciences Centre & ARNET-Aquatic Research Network Associated Laboratory, Faculdade de Ciências da Universidade de Lisboa, Campo Grande, 1749-016 Lisbon, Portugal.ORCID 0000-0002-6374-1194
University of Lisbon · PTLaboratoire de Chimie et Physique - Approche Multi-échelle des Milieux Complexes
Funding
Fundação para a Ciência e Tecnologia 2021.00244.CEECINDFundação para a Ciência e Tecnologia CEEC-IND/00511/2017Fundação para a Ciência e Tecnologia CEECIND/02246/2017Fundação 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/04292/2020Horizon 2020 731077
6 · The paper itself
Abstract
The increased use of antidepressants, along with their increased occurrence in aquatic environments, is of concern for marine organisms. Although these pharmaceutical compounds have been shown to negatively affect marine diatoms, their mode of action in these non-target, single-cell phototrophic organisms is yet unknown. Using a Fourier-transform ion cyclotron-resonance mass spectrometer (FT-ICR-MS) we evaluated the effects of fluoxetine in the metabolomics of the model 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.
Untargeted Metabolomics Reveals Antidepressant Effects in a Marine Photosynthetic Organism: The Diatom · full record | OpenQuestion