The DOI matches its Crossref record.
A comparison of methods for the quantification of bacterial sulfate reduction in coastal marine sediments: II. Calculation from mathematical models
Abstract
A mathematical model describing vertical sulfate gradients as a function of diffusion, bacterial reduction, and sedimentation is applied to calculate the steady‐state rates of sulfate reduction in coastal sediments. Diffusion coefficients of sulfate are determined experimentally in different sediment types and depths. The rate of sulfate reduction is also determined directly on sediment cores by a radiotracer technique. Experimentally determined rates are compared with those calculated from the model. The results of the model are shown to depend strongly on its assumptions about the kinetics of bacterial sulfate reduction.
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.
Integrity signals
Registry
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.
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
Quantifying the degradation of organic matter in marine sediments: A review and synthesis
Arndt, S., Jørgensen, B. B., LaRowe, D. E., Middelburg, J. J., Pancost, R. D., & Regnier, P. (2013) · Earth-Science Reviews · doi:10.1016/j.earscirev.2013.02.008 · Cited by 1,040
Self-citationFactors influencing organic carbon preservation in marine sediments
Canfield, D. E. (1994) · Chemical Geology · doi:10.1016/0009-2541(94)90061-2 · Cited by 1,026
The Biogeochemical Sulfur Cycle of Marine Sediments
Jørgensen, B. B., Findlay, A. J., & Pellerin, A. (2019) · Frontiers in Microbiology · doi:10.3389/fmicb.2019.00849 · Cited by 784
Self-citationJ⊘rgensen, B. B. (1978) · Geomicrobiology Journal · doi:10.1080/01490457809377721 · Cited by 721
Self-citationA simple rate model for organic matter decomposition in marine sediments
Middelburg, J. J. (1989) · Geochimica et Cosmochimica Acta · doi:10.1016/0016-7037(89)90239-1 · Cited by 667
Metadata
- Authors
- J⊘rgensen, B. B.
- Venue
- Geomicrobiology Journal
- Publisher
- Informa UK Limited
- Published
- 1978-01
- Volume
- 1
- Issue
- 1
- Pages
- 29-47
- ISSN
- 0149-0451 (ISSN-L)
- 1521-0529
- OpenAlex
- W3152835122
- Cited by
- 200
- References
- 0
- FWCI
- 5.14
- Type
- journal article
- Language
- en
- Open access
- closed
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: A comparison of methods for the quantification of bacterial sulfate reduction in coastal marine sediments: II. Calculation from mathematical models. https://app.cochat.ai/papers/10.1080/01490457809377722
- The paper
- J⊘rgensen, B. B. (1978). A comparison of methods for the quantification of bacterial sulfate reduction in coastal marine sediments: II. Calculation from mathematical models. Geomicrobiology Journal. https://doi.org/10.1080/01490457809377722
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.
