Evidence map›Paper›PMID 27872618›Full record

ArticleFrontiers in microbiology2016

Time Series Analysis of the

Paola Lecca, Ivan Mura, Angela Re, Gary C Barker, Adaoha E C Ihekwaba

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

5 authors at 3 institutions in 3 countries.

Paola LeccaDepartment of Mathematics, University of Trento Trento, Italy.
Ivan MuraDepartment of Industrial Engineering, Universidad de los Andes Bogotá, Colombia.
Angela ReLaboratory of Translational Genomics, Centre for Integrative Biology, University of Trento Trento, Italy.
Gary C BarkerGut Health and Food Safety, Institute of Food Research Norwich, UK.
Adaoha E C IhekwabaGut Health and Food Safety, Institute of Food Research Norwich, UK.
Quadram Institute · GBUniversity of Trento · ITUniversidad de Los Andes · CO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chaotic behavior refers to a behavior which, albeit irregular, is generated by an underlying deterministic process. Therefore, a chaotic behavior is potentially controllable. This possibility becomes practically amenable especially when chaos is shown to be low-dimensional, i.e., to be attributable to a small fraction of the total systems components. In this case, indeed, including the major drivers of chaos in a system into the modeling approach allows us to improve predictability of the systems dynamics. Here, we analyzed the numerical simulations of an accurate ordinary differential equation model of the gene network regulating sporulation initiation in

Indexed as

Bacillus subtiliscomputational modelinglow dimensional chaossensitivity analysissignal transductionsporulationsystems biology

Identifiers

PMID27872618
PMCPMC5097912
OpenAlexW2546901514

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.