Evidence map›Paper›PMID 40537143›Full record

ArticleEnvironmental microbiology reports2025

Linking Cell Size, V

Risa Sasaki, Mayumi Seto

Abstract read
In one paragraph

Article in Environmental microbiology reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Linking Cell Size, VEnvironmental microbiology reports · 2025
    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.

Risa SasakiDepartment of Chemistry, Biology, and Environmental Sciences, Nara Women's University, Kita-Uoya Nishimachi, Nara, Japan.
Mayumi SetoDepartment of Chemistry, Biology, and Environmental Sciences, Nara Women's University, Kita-Uoya Nishimachi, Nara, Japan.ORCID https://orcid.org/0000-0003-4709-5206

Funding

Japan Society for the Promotion of Science JP22K06390Japan Society for the Promotion of Science JP23H04652Japan Society for the Promotion of Science JP24H01514
6 · The paper itself

Abstract

Microbial growth is often described in terms of resource uptake rates, making the understanding and parameterisation of these rate-limiting processes critical for microbial modelling. In phototrophic plankton, theoretical studies suggest that nutrient uptake is limited by mechanistic processes involving membrane transporters, and it has been observed that the cell-specific maximum resource uptake rate (V

Indexed as

BacteriaPhototrophic ProcessesBayes TheoremBiological TransportCell SizeKineticsModels, BiologicalPhytoplanktoncell sizechemotrophic organismsmechanistic limitationMichaelis–Menten modelMonod modelparameterisationresource uptake rateVmax‐Km tradeoff

Identifiers

PMID40537143
PMCPMC12178613

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.