Evidence map›Paper›PMID 31052310›Full record

ArticleMetabolites2019

DynaStI: A Dynamic Retention Time Database for Steroidomics.

Santiago Codesido, Giuseppe Marco Randazzo, Fabio Lehmann, Víctor González-Ruiz, Arnaud García, Ioannis Xenarios, Robin Liechti, Alan Bridge, Julien Boccard, Serge Rudaz

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Metabolites, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Low-polarity untargeted metabolomic profiling as a tool to gain insight into seminal fluid.Metabolomics : Official journal of the Metabolomic Society · 2023
    Article
  4. Article
  5. Chemical Discovery in the Era of Metabolomics.Journal of the American Chemical Society · 2020
    Review
  6. Software tools, databases and resources in metabolomics: updates from 2018 to 2019.Metabolomics : Official journal of the Metabolomic Society · 2020
    Review
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

10 authors.

Santiago CodesidoSchool of Pharmaceutical Sciences, University of Geneva, University of Lausanne, 1206 Geneva, Switzerland. Santiago.Codesido@unige.ch.
Giuseppe Marco RandazzoSchool of Pharmaceutical Sciences, University of Geneva, University of Lausanne, 1206 Geneva, Switzerland. marco.randazzo@supsi.ch.
Fabio LehmannSwiss Institute of Bioinformatics, 1015 Lausanne, Switzerland. fabio.lehmann87@gmail.com.
Víctor González-RuizSchool of Pharmaceutical Sciences, University of Geneva, University of Lausanne, 1206 Geneva, Switzerland. Victor.Gonzalez@unige.ch.
Arnaud GarcíaSchool of Pharmaceutical Sciences, University of Geneva, University of Lausanne, 1206 Geneva, Switzerland. Arnaud.Garcia@unige.ch.
Ioannis XenariosSwiss Institute of Bioinformatics, 1015 Lausanne, Switzerland. ioannis.xenarios@unil.ch.
Robin LiechtiSwiss Institute of Bioinformatics, 1015 Lausanne, Switzerland. robin.liechti@sib.swiss.
Alan BridgeSwiss Institute of Bioinformatics, 1015 Lausanne, Switzerland. Alan.Bridge@sib.swiss.
Julien BoccardSchool of Pharmaceutical Sciences, University of Geneva, University of Lausanne, 1206 Geneva, Switzerland. Julien.Boccard@unige.ch.
Serge RudazSchool of Pharmaceutical Sciences, University of Geneva, University of Lausanne, 1206 Geneva, Switzerland. Serge.Rudaz@unige.ch.

Funding

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 31003A_166658
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

databasemetabolomicspredictionsteroidomics

Identifiers

PMID31052310
PMCPMC6572260

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.