Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 439

The DOI matches its Crossref record.

Frequency of Dividing Cells, a New Approach to the Determination of Bacterial Growth Rates in Aquatic Environments

Open access
Hagström, Larsson, U., Hörstedt, P., Normark, S.·1979·Applied and Environmental Microbiology

Abstract

Frequency of dividing cells is suggested to be an indirect measure of the mean growth rate of an aquatic bacterial community. Seasonal changes in frequency of dividing cells were found which covariated with the bacterial uptake of 14 C-labeled phytoplankton exudates. Batch and continuous culture growth experiments, using brackish water bacteria in pure and mixed enrichment cultures, were performed to establish a relationship between frequency of dividing cells and growth rate. An improved technique for bacterial direct counts, using fluorescent staining and epifluorescence microscopy, is presented. Based on a 6-month survey in a coastal area of the Baltic Sea, the bacterial production in the photic zone is estimated. Compared to the total primary production in the area, the bacterial population during this period utilized approximately 25% of the amount of carbon originally fixed by the primary producers.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1128/aem.37.5.805-812.1979

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 439

Metadata

Authors
Hagström, Larsson, U., Hörstedt, P., & Normark, S.
Venue
Applied and Environmental Microbiology
Published
1979-05
Volume
37
Issue
5
Pages
805-812
ISSN
  • 0099-2240 (ISSN-L)
  • 1098-5336
OpenAlex
W1933059320
Cited by
439
References
0
FWCI
21.24
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Frequency of Dividing Cells, a New Approach to the Determination of Bacterial Growth Rates in Aquatic Environments. https://app.cochat.ai/papers/10.1128/aem.37.5.805-812.1979
The paper
Hagström, Larsson, U., Hörstedt, P., & Normark, S. (1979). Frequency of Dividing Cells, a New Approach to the Determination of Bacterial Growth Rates in Aquatic Environments. Applied and Environmental Microbiology. https://doi.org/10.1128/aem.37.5.805-812.1979

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.