Evidence map›Paper›PMID 31341744›Full record

ArticlePeerJ2019

Monitoring cyanobacterial toxins in a large reservoir: relationships with water quality parameters.

Seenivasan Subbiah, Adcharee Karnjanapiboonwong, Jonathan D Maul, Degeng Wang, Todd A Anderson

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2019. 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
1.3field-weighted citation impact, top 22% 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

1 citing paper in PubMed, 14 citations in OpenAlex.

  1. Effects of submerged macrophytes (Frontiers in microbiology · 2022
    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

5 authors at 1 institution in 1 country.

Seenivasan SubbiahDepartment of Environmental Toxicology, Texas Tech University, Lubbock, TX, United States of America.
Adcharee KarnjanapiboonwongDepartment of Environmental Toxicology, Texas Tech University, Lubbock, TX, United States of America.
Jonathan D MaulDepartment of Environmental Toxicology, Texas Tech University, Lubbock, TX, United States of America.
Degeng WangDepartment of Environmental Toxicology, Texas Tech University, Lubbock, TX, United States of America.
Todd A AndersonDepartment of Environmental Toxicology, Texas Tech University, Lubbock, TX, United States of America.
Texas Tech University · US

Funding

To Combine CRISPR/Cas9 Genome Editing, Nanotech and Chemical Genetics toward in vivo Protein Kinase AnalysisR15GM122006 · NIGMS · TEXAS TECH UNIVERSITY · PI WANG, DEGENG · 2017 to 2019
$535k
NIGMS NIH HHS R15 GM122006
6 · The paper itself

Abstract

Cyanobacteria are widely distributed in fresh, brackish, and ocean water environments, as well as in soil and on moist surfaces. Changes in the population of cyanobacteria can be an important indicator of alterations in water quality. Metabolites produced by blooms of cyanobacteria can be harmful, so cell counts are frequently monitored to assess the potential risk from cyanobacterial toxins. A frequent uncertainty in these types of assessments is the lack of strong relationships between cell count numbers and algal toxin concentrations. In an effort to use ion concentrations and other water quality parameters to determine the existence of any relationships with cyanobacterial toxin concentrations, we monitored four cyanobacterial toxins and inorganic ions in monthly water samples from a large reservoir over a 2-year period. Toxin concentrations during the study period never exceeded safety limits. In addition, toxin concentrations at levels above the limit of quantitation were infrequent during the 2-year sampling period; non-detects were common. Microcystin-LA was the least frequently detected analyte (86 of 89 samples were ND), followed by the other microcystins (microcystin-RR, microcystin-LR). Cylindrospermopsin and saxitoxin were the most frequently detected analytes. Microcystin and anatoxin concentrations were inversely correlated with Cl

Indexed as

Algal toxinsFreshwater lakeWater quality

Identifiers

PMID31341744
PMCPMC6640620
OpenAlexW2960561521

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.