Evidence map›Paper›PMID 29258276›Full record

ArticleMetabolites2017

Metabolomic Profiles of a Midge (Procladius villosimanus, Kieffer) Are Associated with Sediment Contamination in Urban Wetlands.

Katherine J Jeppe, Konstantinos A Kouremenos, Kallie R Townsend, Daniel F MacMahon, David Sharley, Dedreia L Tull, Ary A Hoffmann, Vincent Pettigrove, Sara M Long

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Metabolites, 2017. 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
0.1field-weighted citation impact, top 47% 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, 7 citations in OpenAlex.

  1. 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 1 institution in 1 country.

Katherine J JeppeCentre for Aquatic Pollution Identification and Management (CAPIM), School of BioSciences, The University of Melbourne, Royal Pde, Parkville 3010, Australia. kjeppe@unimelb.edu.au.
Konstantinos A KouremenosMetabolomics Australia, Bio21 Molecular Science and Biotechnology Institute, 30 Flemington Road, Parkville 3052, Australia. konstantinos.kouremenos@unimelb.edu.au.
Kallie R TownsendCentre for Aquatic Pollution Identification and Management (CAPIM), School of BioSciences, The University of Melbourne, Royal Pde, Parkville 3010, Australia. tok@unimelb.edu.au.
Daniel F MacMahonCentre for Aquatic Pollution Identification and Management (CAPIM), School of BioSciences, The University of Melbourne, Royal Pde, Parkville 3010, Australia. macmahon@unimelb.edu.au.
David SharleyCentre for Aquatic Pollution Identification and Management (CAPIM), School of BioSciences, The University of Melbourne, Royal Pde, Parkville 3010, Australia. d.sharley@gmail.com.
Dedreia L TullMetabolomics Australia, Bio21 Molecular Science and Biotechnology Institute, 30 Flemington Road, Parkville 3052, Australia. dedreia@unimelb.edu.au.
Ary A HoffmannSchool of BioSciences, Bio21 Molecular Science and Biotechnology Institute, The University of Melbourne, 30 Flemington Road, Parkville 3052, Australia. ary@unimelb.edu.au.
Vincent PettigroveCentre for Aquatic Pollution Identification and Management (CAPIM), School of BioSciences, The University of Melbourne, Royal Pde, Parkville 3010, Australia. vpet@unimelb.edu.au.
Sara M LongCentre for Aquatic Pollution Identification and Management (CAPIM), School of BioSciences, The University of Melbourne, Royal Pde, Parkville 3010, Australia. hoskins@unimelb.edu.au.
The University of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolomic techniques are powerful tools for investigating organism-environment interactions. Metabolite profiles have the potential to identify exposure or toxicity before populations are disrupted and can provide useful information for environmental assessment. However, under complex environmental scenarios, metabolomic responses to exposure can be distorted by background and/or organismal variation. In the current study, we use LC-MS (liquid chromatography-mass spectrometry) and GC-MS (gas chromatography-mass spectrometry) to measure metabolites of the midge

Indexed as

biomonitoringChironomidaeenvironmental metabolomicsProcladius villosimanussediment contamination

Identifiers

PMID29258276
PMCPMC5746744
OpenAlexW2776996471

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.