The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
mzML—a Community Standard for Mass Spectrometry Data
Open accessAbstract
Mass spectrometry is a fundamental tool for discovery and analysis in the life sciences. With the rapid advances in mass spectrometry technology and methods, it has become imperative to provide a standard output format for mass spectrometry data that will facilitate data sharing and analysis. Initially, the efforts to develop a standard format for mass spectrometry data resulted in multiple formats, each designed with a different underlying philosophy. To resolve the issues associated with having multiple formats, vendors, researchers, and software developers convened under the banner of the HUPO PSI to develop a single standard. The new data format incorporated many of the desirable technical attributes from the previous data formats, while adding a number of improvements, including features such as a controlled vocabulary with validation tools to ensure consistent usage of the format, improved support for selected reaction monitoring data, and immediately available implementations to facilitate rapid adoption by the community. The resulting standard data format, mzML, is a well tested open-source format for mass spectrometer output files that can be readily utilized by the community and easily adapted for incremental advances in mass spectrometry technology.
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
Cites
ProteoWizard: open source software for rapid proteomics tools development
Kessner, D., Chambers, M., Burke, R., Agus, D., & Mallick, P. (2008) · Bioinformatics · doi:10.1093/bioinformatics/btn323 · Cited by 2,024
Self-citationDesiere, F. (2006) · Nucleic Acids Research · doi:10.1093/nar/gkj040 · Cited by 910
A common open representation of mass spectrometry data and its application to proteomics research
Pedrioli, P. G. A., Eng, J. K., Hubley, R., Vogelzang, M., Deutsch, E. W., Raught, B., Pratt, B., Nilsson, E., Angeletti, R. H., Apweiler, R., et al. (2004) · Nature Biotechnology · doi:10.1038/nbt1031 · Cited by 780
Self-citationThe minimum information about a proteomics experiment (MIAPE)
Taylor, C. F., Paton, N. W., Lilley, K. S., Binz, P.-A., Julian, R. K., Jones, A. R., Zhu, W., Apweiler, R., Aebersold, R., Deutsch, E. W., et al. (2007) · Nature Biotechnology · doi:10.1038/nbt1329 · Cited by 766
Self-citationA guided tour of the Trans‐Proteomic Pipeline
Deutsch, E. W., Mendoza, L., Shteynberg, D., Farrah, T., Lam, H., Tasman, N., Sun, Z., Nilsson, E., Pratt, B., Prazen, B., et al. (2010) · PROTEOMICS · doi:10.1002/pmic.200900375 · Cited by 745
Self-citationOpen Source System for Analyzing, Validating, and Storing Protein Identification Data
Craig, R., Cortens, J. P., & Beavis, R. C. (2004) · Journal of Proteome Research · doi:10.1021/pr049882h · Cited by 694
A uniform proteomics MS/MS analysis platform utilizing open XML file formats
Keller, A., Eng, J., Zhang, N., Li, X., & Aebersold, R. (2005) · Molecular Systems Biology · doi:10.1038/msb4100024 · Cited by 693
OpenMS – An open-source software framework for mass spectrometry
Sturm, M., Bertsch, A., Gröpl, C., Hildebrandt, A., Hussong, R., Lange, E., Pfeifer, N., Schulz-Trieglaff, O., Zerck, A., Reinert, K., et al. (2008) · BMC Bioinformatics · doi:10.1186/1471-2105-9-163 · Cited by 644
Self-citationPRIDE: The proteomics identifications database
Martens, L., Hermjakob, H., Jones, P., Adamski, M., Taylor, C., States, D., Gevaert, K., Vandekerckhove, J., & Apweiler, R. (2005) · PROTEOMICS · doi:10.1002/pmic.200401303 · Cited by 594
Self-citationTaylor, C. F., Field, D., Sansone, S.-A., Aerts, J., Apweiler, R., Ashburner, M., Ball, C. A., Binz, P.-A., Bogue, M., Booth, T., et al. (2008) · Nature Biotechnology · doi:10.1038/nbt.1411 · Cited by 558 · cited 1×
“Minimal information assurance in all the relevant formats on the other hand is coordinated through the MIBBI project (38).”
BackgroundSelf-citation
Cited by
The PRIDE database resources in 2022: a hub for mass spectrometry-based proteomics evidences
Perez-Riverol, Y., Bai, J., Bandla, C., García-Seisdedos, D., Hewapathirana, S., Kamatchinathan, S., Kundu, D. J., Prakash, A., Frericks-Zipper, A., Eisenacher, M., et al. (2022) · Nucleic Acids Research · doi:10.1093/nar/gkab1038 · Cited by 6,125
ProteomeXchange provides globally coordinated proteomics data submission and dissemination
Vizcaíno, J. A., Deutsch, E. W., Wang, R., Csordas, A., Reisinger, F., Ríos, D., Dianes, J. A., Sun, Z., Farrah, T., Bandeira, N., et al. (2014) · Nature Biotechnology · doi:10.1038/nbt.2839 · Cited by 2,729
Self-citationThe Proteomics Identifications (PRIDE) database and associated tools: status in 2013
Vizcaíno, J. A., Côté, R. G., Csordas, A., Dianes, J. A., Fabregat, A., Foster, J. M., Griss, J., Alpi, E., Birim, M., Contell, J., et al. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks1262 · Cited by 1,918
Self-citationComet: An open‐source MS / MS sequence database search tool
Eng, J. K., Jahan, T. A., & Hoopmann, M. R. (2013) · PROTEOMICS · doi:10.1002/pmic.201200439 · Cited by 1,474
MS-GF+ makes progress towards a universal database search tool for proteomics
Kim, S., & Pevzner, P. A. (2014) · Nature Communications · doi:10.1038/ncomms6277 · Cited by 1,098
Metadata
- Authors
- Martens, L., Chambers, M., Sturm, M., Kessner, D., Levander, F., Shofstahl, J., Tang, W. H., Römpp, A., Neumann, S., Pizarro, A. D., Montecchi-Palazzi, L., Tasman, N., Coleman, M., Reisinger, F., Souda, P., Hermjakob, H., Binz, P.-A., & Deutsch, E. W.
- Venue
- Molecular & Cellular Proteomics
- Publisher
- Elsevier BV
- Published
- 2011-01
- Volume
- 10
- Issue
- 1
- Pages
- R110.000133
- ISSN
- 1535-9476 (ISSN-L)
- OpenAlex
- W2110017950
- Cited by
- 745
- References
- 31
- FWCI
- 16.44
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: mzML—a Community Standard for Mass Spectrometry Data. https://app.cochat.ai/papers/10.1074/mcp.r110.000133
- The paper
- Martens, L., Chambers, M., Sturm, M., Kessner, D., Levander, F., Shofstahl, J., Tang, W. H., Römpp, A., Neumann, S., Pizarro, A. D., Montecchi-Palazzi, L., Tasman, N., Coleman, M., Reisinger, F., Souda, P., Hermjakob, H., Binz, P.-A., & Deutsch, E. W. (2011). mzML—a Community Standard for Mass Spectrometry Data. Molecular & Cellular Proteomics. https://doi.org/10.1074/mcp.r110.000133
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.
