Evidence map›Paper›PMID 28250106›Full record

ArticleOpen biology2017

Parallel analysis of

Alexander Graf, Diana Coman, R Glen Uhrig, Sean Walsh, Anna Flis, Mark Stitt, Wilhelm Gruissem

Open access · goldAbstract read
In one paragraph

Article in Open biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

28 citing papers in PubMed, 62 citations in OpenAlex.

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  15. Interpreting machine learning models to investigate circadian regulation and facilitate exploration of clock function.Proceedings of the National Academy of Sciences of the United States of America · 2021
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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 at 2 institutions in 2 countries.

Alexander GrafDepartment of Biology, ETH Zurich, 8092 Zurich, Switzerland.
Diana ComanDepartment of Biology, ETH Zurich, 8092 Zurich, Switzerland.
R Glen UhrigDepartment of Biology, ETH Zurich, 8092 Zurich, Switzerland.ORCID 0000-0003-2773-4381
Sean WalshDepartment of Biology, ETH Zurich, 8092 Zurich, Switzerland.
Anna FlisMax Planck Institute of Molecular Plant Physiology, 14476 Postdam-Golm, Germany.
Mark StittMax Planck Institute of Molecular Plant Physiology, 14476 Postdam-Golm, Germany.
Wilhelm GruissemDepartment of Biology, ETH Zurich, 8092 Zurich, Switzerland wgruissem@ethz.ch.
ETH Zurich · CHMax Planck Institute of Molecular Plant Physiology · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The circadian clock regulates physiological processes central to growth and survival. To date, most plant circadian clock studies have relied on diurnal transcriptome changes to elucidate molecular connections between the circadian clock and observable phenotypes in wild-type plants. Here, we have integrated RNA-sequencing and protein mass spectrometry data to comparatively analyse the

Indexed as

Gene Expression Regulation, PlantMutationTranscriptomeArabidopsisArabidopsis ProteinsCarbohydrate MetabolismCircadian ClocksCircadian RhythmCLOCK ProteinsTranscription FactorsUbiquitinationArabidopsis ProteinsCCA1 protein, ArabidopsisCLOCK ProteinsTranscription FactorsArabidopsis thalianacircadian clockphotoperiodproteomicstranscriptomics

Identifiers

PMID28250106
PMCPMC5376707
OpenAlexW2593078514

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.