Evidence map›Paper›PMID 34072870›Full record

ArticleMarine drugs2021

Analysis of the Mycosporine-Like Amino Acid (MAA) Pattern of the Salt Marsh Red Alga

Maria Orfanoudaki, Anja Hartmann, Julia Mayr, Félix L Figueroa, Julia Vega, John West, Ricardo Bermejo, Christine Maggs, Markus Ganzera

Open access · goldAbstract read
In one paragraph

Article in Marine drugs, 2021. 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
1.8field-weighted citation impact, top 14% 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, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
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

9 authors at 5 institutions in 5 countries.

Maria OrfanoudakiInstitute of Pharmacy, Pharmacognosy, University of Innsbruck, Innrain 80-82, 6020 Innsbruck, Austria.ORCID 0000-0002-9409-7645
Anja HartmannInstitute of Pharmacy, Pharmacognosy, University of Innsbruck, Innrain 80-82, 6020 Innsbruck, Austria.
Julia MayrInstitute of Pharmacy, Pharmacognosy, University of Innsbruck, Innrain 80-82, 6020 Innsbruck, Austria.
Félix L FigueroaExperimental Centre Grice-Hutchinson, Institute of Blue Biotechnology and Development (IBYDA), University of Malaga, Lomas de San Julian, 29004 Malaga, Spain.ORCID 0000-0003-3580-4693
Julia VegaExperimental Centre Grice-Hutchinson, Institute of Blue Biotechnology and Development (IBYDA), University of Malaga, Lomas de San Julian, 29004 Malaga, Spain.ORCID 0000-0002-7473-5961
John WestSchool of BioSciences, University of Melbourne, Parkville, VIC 3010, Australia.
Ricardo BermejoEarth and Ocean Sciences, School of Natural Sciences and Ryan Institute, National University of Ireland, H91 TK33 Galway, Ireland.ORCID 0000-0003-3838-9093
Christine MaggsQueen's University Marine Laboratory Portaferry, School of Biological Sciences, Queen's University, Belfast BT22 1PF, UK.
Markus GanzeraInstitute of Pharmacy, Pharmacognosy, University of Innsbruck, Innrain 80-82, 6020 Innsbruck, Austria.ORCID 0000-0002-7407-9060
Universität Innsbruck · ATUniversidad de Málaga · ESOllscoil na Gaillimhe – University of Galway · IEQueen's University Belfast · GBThe University of Melbourne · AU

Funding

Austrian Science Fund FWF P 29671
6 · The paper itself

Abstract

This study presents the validation of a high-performance liquid chromatography diode array detector (HPLC-DAD) method for the determination of different mycosporine-like amino acids (MAAs) in the red alga

Indexed as

Amino AcidsChromatography, High Pressure LiquidRhodophytaWetlandsAmino AcidsBostrychia scorpioidesbostrychinesHPLC-DADmethod validationmycosporine-like amino acids

Identifiers

PMID34072870
PMCPMC8229764
OpenAlexW3164474332

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.