The DOI matches its Crossref record.
A general approach to calculating isotopic distributions for mass spectrometry
Abstract
Fundamental principles for obtaining mass spectral isotopic distributions are applied to a general computer program which can be used to calculate and present in tabular and graphic form the isotopic contributions for any molecular formula. A unique feature is the retention of the isotopic distribution, exact mass, and absolute abundance for all individual peaks at each mass. Special considerations have been made for the large number of isotopic combinations which occur for many higher mass compounds. The computer program accepts the input of a molecular formula followed by interactive input of a number of parameters which affect the final presentation of the theoretical distribution profile.
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
Kuhl, C., Tautenhahn, R., Böttcher, C., Larson, T. R., & Neumann, S. (2012) · Analytical Chemistry · doi:10.1021/ac202450g · Cited by 1,203
Automated reduction and interpretation of
Horn, D. M., Zubarev, R. A., & McLafferty, F. W. (2000) · Journal of the American Society for Mass Spectrometry · doi:10.1016/s1044-0305(99)00157-9 · Cited by 507
Senko, M. W., Beu, S. C., & McLaffertycor, F. W. (1995) · Journal of the American Society for Mass Spectrometry · doi:10.1016/1044-0305(95)00017-8 · Cited by 451
Assessing the Extent of Bone Degradation Using Glutamine Deamidation in Collagen
Wilson, J., van Doorn, N. L., & Collins, M. J. (2012) · Analytical Chemistry · doi:10.1021/ac301333t · Cited by 126
Comprehensive Emerging Chemical Discovery: Novel Polyfluorinated Compounds in Lake Michigan Trout
Fakouri Baygi, S., Crimmins, B. S., Hopke, P. K., & Holsen, T. M. (2016) · Environmental Science & Technology · doi:10.1021/acs.est.6b01349 · Cited by 49
Metadata
- Authors
- Yergey, J. A.
- Venue
- International Journal of Mass Spectrometry and Ion Physics
- Publisher
- Elsevier BV
- Published
- 1983-09
- Volume
- 52
- Issue
- 2-3
- Pages
- 337-349
- ISSN
- 0020-7381 (ISSN-L)
- OpenAlex
- W2061820546
- Cited by
- 222
- References
- 0
- FWCI
- 1.81
- 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 general approach to calculating isotopic distributions for mass spectrometry. https://app.cochat.ai/papers/10.1016/0020-7381(83)85053-0
- The paper
- Yergey, J. A. (1983). A general approach to calculating isotopic distributions for mass spectrometry. International Journal of Mass Spectrometry and Ion Physics. https://doi.org/10.1016/0020-7381(83)85053-0
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.