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An evolutionary algorithm for designing microbial communities via environmental modification

Journal of The Royal Society Interface(2021)10.1098/rsif.2021.0348Source: DataRank Database

An evolutionary algorithm for designing microbial communities via environmental modification is a research paper published in Journal of The Royal Society Interface (2021). On theSindex it has a DataRank of 0.949. It has been cited 25 times, with 23 citing works in its 1-hop citation network.

N/A

0.949DataRank · unranked

Scored on demand from live citation data

Deposits data Open Access25 citations · 23 citing works in its network

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Linked data & code

doi

Data availability

Repositories this paper deposited data in (declared in PubMed).

figshare10.6084/m9.figshare.c.5459188

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (11 grants)Impact (FWCI 1.33)OA: hybridTopics (35)Linked Datasets (4)DataCite Reuse (4)IDs (PubMed, PMC, OpenAlex)Annotations (1)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (1/2)

Open Access

Interoperable (2/2)

DataCite relations
Linked datasets

Reusable (0/3)

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DataRank Breakdown

Base Score 51%Citation Network 49%

Base Score Contribution

0.489

From this paper's citation signal

Citation Network Contribution

0.461

From 16 citing papers with measurable signal

Learn more about DataRank methodology →

Top 5 citers driving the network score

Ranked by each citer's contribution to N(p) — log1p(C_q) divided by its reference count — out of 23 citers.

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Preparative Biochemistry & Biotechnology20239 citations38 referencesContributes 0.061
Formation of a constructed microbial community in a nutrient-rich environment indicates bacterial interspecific competition
mSystems202418 citations54 referencesContributes 0.055
Computational modeling of metabolism in microbial communities on a genome-scale
Current Opinion in Systems Biology202193 citations86 referencesContributes 0.053
The optimization of microbial functions through rational environmental manipulations
Molecular Microbiology202417 citations68 referencesContributes 0.043

Authors (2)

Daniel Segrè ORCID,Alan R. Pacheco ORCID

Live enrichment

PubMed:34157894 PMC:PMC8220269 OpenAlex:https://openalex.org/W3174585908

United States Department of Energy, Office of Science, Office of Biological & Environmental Research

Grant: DE-AC02-05CH11231

Howard Hughes Medical Institute

Grant: Gilliam Fellowship

Human Frontiers Science Program

Grant: RGP0020/2016

Ford Foundation

Grant: NASEM Predoctoral Fellowship

National Science Foundation

Grant: 1457695

National Science Foundation

Grant: NSFOCE-BSF 1635070

National Institutes of Health

Grant: R01GM121950

National Institutes of Health

Grant: UH2AG064704

Howard Hughes Medical Institute

Boston University Interdisciplinary Biomedical Research Office

Howard Hughes Medical Institute

FWCI

1.33

Citation Percentile

0.8%

Citation Trend

2021

2022

2023

2024

2025

2026

hybridLicense: cc-by

journalhttps://doi.org/10.1098/rsif.2021.0348

publisherhttps://doi.org/10.1098/rsif.2021.0348

publisherhttps://royalsocietypublishing.org/doi/pdf/10.1098/rsif.2021.0348

publisherhttps://royalsocietypublishing.org/doi/full-xml/10.1098/rsif.2021.0348

repositoryhttps://pubmed.ncbi.nlm.nih.gov/34157894

Fields of Study

Microbial Metabolic Engineering and BioproductionGene Regulatory Network AnalysisBioinformatics and Genomic NetworksAlgorithmsBiological EvolutionComputer SimulationMicrobial ConsortiaMicrobiota

MeSH Terms

AlgorithmsComputer SimulationBiological EvolutionMicrobial ConsortiaMicrobiota

Keywords

Flux balance analysisBiochemical engineeringMicrobial population biologyComputer scienceProcess (computing)Rational designIn silicoMicrobiomeSynthetic biologyMicrobial ecologyIterative and incremental developmentEcologyMachine learningArtificial intelligenceBiologyComputational biologyBioinformaticsEngineeringMicrobial communitiesgenetic algorithmSynthetic EcologyMetabolic Modelling

Sustainable Development Goals

SDG 0: Life in Land

Supplementary Material from An evolutionary algorithm for designing microbial communities via environmental modification

10.6084/m9.figshare.14754145.v1The Royal Society

Supplementary Material from An evolutionary algorithm for designing microbial communities via environmental modification

10.6084/m9.figshare.14754145The Royal Society

Supplementary material from "An evolutionary algorithm for designing microbial communities via environmental modification"

10.6084/m9.figshare.c.5459188The Royal Society

Supplementary material from "An evolutionary algorithm for designing microbial communities via environmental modification"

10.6084/m9.figshare.c.5459188.v1The Royal Society

An evolutionary algorithm for designing microbial communities via environmental modification

FAIR Checklist

DataRank Breakdown

Top 5 citers driving the network score

Authors (2)

Funding (11 grants)

Impact

Open Access

Topics

Linked Datasets (4)

Annotations (Europe PMC)