Evidence map›Paper›PMID 32916957›Full record

ArticleToxins2020

Is a Central Sediment Sample Sufficient? Exploring Spatial and Temporal Microbial Diversity in a Small Lake.

Barbara Weisbrod, Susanna A Wood, Konstanze Steiner, Ruby Whyte-Wilding, Jonathan Puddick, Olivier Laroche, Daniel R Dietrich

Abstract read
In one paragraph

Article in Toxins, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

7 authors.

Barbara WeisbrodHuman and Environmental Toxicology, Department of Biology, University of Konstanz, Universitätsstrasse 10, 78457 Konstanz, Germany.
Susanna A WoodCawthron Institute, 98 Halifax Street East, Nelson 7010, New Zealand.ORCID 0000-0003-1976-8266
Konstanze SteinerCawthron Institute, 98 Halifax Street East, Nelson 7010, New Zealand.
Ruby Whyte-WildingCawthron Institute, 98 Halifax Street East, Nelson 7010, New Zealand.
Jonathan PuddickCawthron Institute, 98 Halifax Street East, Nelson 7010, New Zealand.ORCID 0000-0001-7000-9180
Olivier LarocheCawthron Institute, 98 Halifax Street East, Nelson 7010, New Zealand.ORCID 0000-0003-0755-0083
Daniel R DietrichHuman and Environmental Toxicology, Department of Biology, University of Konstanz, Universitätsstrasse 10, 78457 Konstanz, Germany.ORCID 0000-0003-0416-3811

Funding

International Max Planck Research School for Organismal Biology 0001Marsden Fund of the Royal Society of New Zealand CAW1601Ministry of Business, Innovation and Employment, New Zealand C05X1707Ministry of Science, Research and the Arts of the Federal State Baden-Württemberg, Germany (Water Research Network project 'Challenges of Reservoir Management - Meeting Environmental and Social Requirements') 814/15
6 · The paper itself

Abstract

(1) Background: Paleolimnological studies use sediment cores to explore long-term changes in lake ecology, including occurrences of harmful cyanobacterial blooms. Most studies are based on single cores, assuming this is representative of the whole lake, but data on small-scale spatial variability of microbial communities in lake sediment are scarce. (2) Methods: Surface sediments (top 0.5 cm) from 12 sites (

Indexed as

BiodiversityCyanobacteriaDNA, BacterialDNA Barcoding, TaxonomicEnvironmental MonitoringGeologic SedimentsHarmful Algal BloomLakesMicrobiotaMicrocystinsRibotypingRNA, Ribosomal, 16SDNA, BacterialMicrocystinsRNA, Ribosomal, 16Scyanobacteriaearthquakesharmful algal bloomsmicrocystinsedimentsediment cores

Identifiers

PMID32916957
PMCPMC7551157

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.