Evidence map›Paper›PMID 16761955›Full record

ReviewThe Biochemical journal2006

How plants tell the time.

Michael J Gardner, Katharine E Hubbard, Carlos T Hotta, Antony N Dodd, Alex A R Webb

Open access · greenAbstract readReview
In one paragraph

Review in The Biochemical journal, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed
29.4field-weighted citation impact, top 1% 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

55 citing papers in PubMed, 159 citations in OpenAlex.

  1. Central Dogma Cycle and Network: A Model for Cell Memory.BioEssays : news and reviews in molecular, cellular and developmental biology · 2026
    Review
  2. ThePlants (Basel, Switzerland) · 2025
    Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Interconnections between circadian clocks and metabolism.The Journal of clinical investigation · 2021
    Review
  12. Review
  13. Introduction to Chronobiology.Cold Spring Harbor perspectives in biology · 2018
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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.

Michael J GardnerDepartment of Plant Sciences, University of Cambridge, Downing Street, Cambridge CB2 3EA, UK.
Katharine E Hubbard
Carlos T Hotta
Antony N Dodd
Alex A R Webb
University of Cambridge · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plants, like all eukaryotes and most prokaryotes, have evolved sophisticated mechanisms for anticipating predictable environmental changes that arise due to the rotation of the Earth on its axis. These mechanisms are collectively termed the circadian clock. Many aspects of plant physiology, metabolism and development are under circadian control and a large proportion of the transcriptome exhibits circadian regulation. In the present review, we describe the advances in determining the molecular nature of the circadian oscillator and propose an architecture of several interlocking negative-feedback loops. The adaptive advantages of circadian control, with particular reference to the regulation of metabolism, are also considered. We review the evidence for the presence of multiple circadian oscillator types located in within individual cells and in different tissues.

Indexed as

Plant Physiological PhenomenaArabidopsisCircadian RhythmGene Expression RegulationModels, TheoreticalPhotoperiodProtein Processing, Post-TranslationalTemperatureTranscription, Genetic

Identifiers

PMID16761955
PMCPMC1479754
OpenAlexW2093737475

What OpenQuestion holds

Textmetadata
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.