Evidence map›Paper›PMID 23530195›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2013

Universal distribution of component frequencies in biological and technological systems.

Tin Yau Pang, Sergei Maslov

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 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. Article
  2. Article
  3. Article
  4. The Compressed Vocabulary of Microbial Life.Frontiers in microbiology · 2021
    Article
  5. Article
  6. Review
  7. Reusable building blocks in biological systems.Journal of the Royal Society, Interface · 2018
    Article
  8. Article
  9. Article
  10. Article
  11. Evidence for soft bounds in Ubuntu package sizes and mammalian body masses.Proceedings of the National Academy of Sciences of the United States of America · 2013
    Article
  12. A maximum entropy framework for nonexponential distributions.Proceedings of the National Academy of Sciences of the United States of America · 2013
    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.

Tin Yau PangDepartment of Biosciences, Brookhaven National Laboratory, Upton, NY 11973, USA.
Sergei Maslov

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacterial genomes and large-scale computer software projects both consist of a large number of components (genes or software packages) connected via a network of mutual dependencies. Components can be easily added or removed from individual systems, and their use frequencies vary over many orders of magnitude. We study this frequency distribution in genomes of ∼500 bacterial species and in over 2 million Linux computers and find that in both cases it is described by the same scale-free power-law distribution with an additional peak near the tail of the distribution corresponding to nearly universal components. We argue that the existence of a power law distribution of frequencies of components is a general property of any modular system with a multilayered dependency network. We demonstrate that the frequency of a component is positively correlated with its dependency degree given by the total number of upstream components whose operation directly or indirectly depends on the selected component. The observed frequency/dependency degree distributions are reproduced in a simple mathematically tractable model introduced and analyzed in this study.

Indexed as

SoftwareComputer SimulationDatabases, FactualDatabases, GeneticGene FrequencyGenes, BacterialGenome, BacterialModels, BiologicalProbabilityProgramming LanguagesSystems Biology

Identifiers

PMID23530195
PMCPMC3625286

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.