Multidimensional data analysis algorithms facilitate and speed the analysis, and provide improved visualization of flow cytometry data in spermatology.
- DOI
- 10.1016/j.theriogenology.2025.117393
- Published
- 2025 Jun
- Container
- Theriogenology
- Publisher
- Not recorded
- Open access
- unknown
Credibility signals
limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1016/j.theriogenology.2025.117393,
title = {Multidimensional data analysis algorithms facilitate and speed the analysis, and provide improved visualization of flow cytometry data in spermatology.},
author = {Becerro-Rey L and Martín-Cano FE and Gil MC and Ortega-Ferrusola C and Redondo E and Masot J and da Silva-Álvarez E and Peña FJ},
year = {2025},
journal = {Theriogenology},
doi = {10.1016/j.theriogenology.2025.117393},
url = {https://doi.org/10.1016/j.theriogenology.2025.117393}
}RIS
TY - JOUR TI - Multidimensional data analysis algorithms facilitate and speed the analysis, and provide improved visualization of flow cytometry data in spermatology. AU - Becerro-Rey L AU - Martín-Cano FE AU - Gil MC AU - Ortega-Ferrusola C AU - Redondo E AU - Masot J AU - da Silva-Álvarez E AU - Peña FJ PY - 2025 JO - Theriogenology DO - 10.1016/j.theriogenology.2025.117393 UR - https://doi.org/10.1016/j.theriogenology.2025.117393 ER -
APA
L, B., FE, M., MC, G., C, O., E, R., J, M., E, D. S., & FJ, P. (2025). Multidimensional data analysis algorithms facilitate and speed the analysis, and provide improved visualization of flow cytometry data in spermatology.. Theriogenology. https://doi.org/10.1016/j.theriogenology.2025.117393
Source records
- pubmed · retrieved 2026-09-26T23:18:29.524Z