Evidence map›Paper›PMID 31456784›Full record

ArticleFrontiers in microbiology2019

Individual Based Model Links Thermodynamics, Chemical Speciation and Environmental Conditions to Microbial Growth.

Valentina Gogulancea, Rebeca González-Cabaleiro, Bowen Li, Denis Taniguchi, Pahala Gedara Jayathilake, Jinju Chen, Darren Wilkinson, David Swailes, Andrew Stephen McGough, Paolo Zuliani and 2 more

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

12 authors.

Valentina GogulanceaSchool of Engineering, Newcastle University, Newcastle upon Tyne, United Kingdom.
Rebeca González-CabaleiroSchool of Engineering, University of Glasgow, Glasgow, United Kingdom.
Bowen LiSchool of Computing, Newcastle University, Newcastle upon Tyne, United Kingdom.
Denis TaniguchiSchool of Computing, Newcastle University, Newcastle upon Tyne, United Kingdom.
Pahala Gedara JayathilakeDepartment of Oncology, University of Oxford, Oxford, United Kingdom.
Jinju ChenSchool of Engineering, Newcastle University, Newcastle upon Tyne, United Kingdom.
Darren WilkinsonSchool of Mathematics, Statistics and Physics, Newcastle University, Newcastle upon Tyne, United Kingdom.
David SwailesSchool of Mathematics, Statistics and Physics, Newcastle University, Newcastle upon Tyne, United Kingdom.
Andrew Stephen McGoughSchool of Computing, Newcastle University, Newcastle upon Tyne, United Kingdom.
Paolo ZulianiSchool of Computing, Newcastle University, Newcastle upon Tyne, United Kingdom.
Irina Dana OfiteruSchool of Engineering, Newcastle University, Newcastle upon Tyne, United Kingdom.
Thomas P CurtisSchool of Engineering, Newcastle University, Newcastle upon Tyne, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Individual based Models (IbM) must transition from research tools to engineering tools. To make the transition we must aspire to develop large, three dimensional and physically and biologically credible models. Biological credibility can be promoted by grounding, as far as possible, the biology in thermodynamics. Thermodynamic principles are known to have predictive power in microbial ecology. However, this in turn requires a model that incorporates pH and chemical speciation. Physical credibility implies plausible mechanics and a connection with the wider environment. Here, we propose a step toward that ideal by presenting an individual based model connecting thermodynamics, pH and chemical speciation and environmental conditions to microbial growth for 5·10

Indexed as

chemical speciationindividual based modelmethanogenesisnitrificationthermodynamics

Identifiers

PMID31456784
PMCPMC6700366

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.