Evidence map›Paper›PMID 23637008›Full record

ReviewTheory in biosciences = Theorie in den Biowissenschaften2013

Randomness and multilevel interactions in biology.

Marcello Buiatti, Giuseppe Longo

Abstract readHistorical ArticleReview
PubMed Publisher
In one paragraph

Review in Theory in biosciences = Theorie in den Biowissenschaften, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Order Through Disorder: The Characteristic Variability of Systems.Frontiers in cell and developmental biology · 2020
    Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Biological Entanglement-Like Effect After Communication of Fish Prior to X-Ray Exposure.Dose-response : a publication of International Hormesis Society
    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

2 authors.

Marcello BuiattiDepartment of Evolutionary, Biology Florence University, Florence, Italy. mbuiattister@gmail.com
Giuseppe Longo

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The dynamic instability of living systems and the "superposition" of different forms of randomness are viewed, in this paper, as components of the contingently changing, or even increasing, organization of life through ontogenesis or evolution. To this purpose, we first survey how classical and quantum physics define randomness differently. We then discuss why this requires, in our view, an enriched understanding of the effects of their concurrent presence in biological systems' dynamics. Biological randomness is then presented not only as an essential component of the heterogeneous determination and intrinsic unpredictability proper to life phenomena, due to the nesting of, and interaction between many levels of organization, but also as a key component of its structural stability. We will note as well that increasing organization, while increasing "order", induces growing disorder, not only by energy dispersal effects, but also by increasing variability and differentiation. Finally, we discuss the cooperation between diverse components in biological networks; this cooperation implies the presence of constraints due to the particular nature of bio-entanglement and bio-resonance, two notions to be reviewed and defined in the paper.

Indexed as

Systems BiologyAnimalsBiological EvolutionBiophysicsGeneticsHistory, 20th CenturyHistory, 21st CenturyHumansLifeModels, TheoreticalNonlinear DynamicsQuantum Theory

Identifiers

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.