BioData Mining Journal – Bias and Credibility

BioData Mining Journal - Pro Science - Least Biased - Medicine - Credible

Factual Reporting: High - Credible - Reliable


PRO-SCIENCE

These sources consist of legitimate science or are evidence-based through credible scientific sourcing.  Legitimate science follows the scientific method, is unbiased, and does not use emotional words.  These sources also respect the consensus of experts in the given scientific field and strive to publish peer-reviewed science. Some sources in this category may have a slight political bias but adhere to scientific principles. See all Pro-Science sources.

  • Overall, we rate BioData Mining Journal as a Pro-Science open-source journal. We also rate them High for factual reporting due to a clean fact check record.

Detailed Report

Bias Rating: PRO-SCIENCE (-0.5)
Factual Reporting: HIGH (0.5)
Country: United Kingdom
MBFC’s Country Freedom Rank: MOSTLY FREE
Media Type: Organization/Foundation
Traffic/Popularity: Minimal Traffic

MBFC Credibility Rating: HIGH CREDIBILITY

History

BioData Mining Journal is a peer-reviewed open-access journal published by BioMed Central (BMC) covering research on DataMininng. According to its about page, “BioData Mining is an open access, open peer-reviewed, informatics journal encompassing research on all aspects of Artificial Intelligence (AI), Machine Learning, and Visual Analytics, applied to high-dimensional biological and biomedical data, focusing on computational aspects of knowledge discovery from large-scale genetic, genomic, metabolomic data and/or electronic health records, social determinants of health, and environmental exposure data.”

Founded in 2000, BioMed Central, or BMC, is a United Kingdom-based, for-profit scientific open-access publisher. They publish more than 300 journals that are entirely online. According to their about page, “Our leading research journals include selective titles such as BMC BiologyBMC Medicine,  Genome Biology and Radiation Ocology, academic journals such as Journal of Hematology & OncologyRadiation Ocology, and Microbiome, and the BMC series, 65 inclusive journals focused on the needs of individual research communities. We also partner with leading institutions and societies to publish journals on their behalf.”

Read our profile on the UK government and media.

Funded by / Ownership

BioMed Central is owned by Springer Nature, an academic publishing company created by the May 2015 merger of Springer Science+Business Media and Holtzbrinck Publishing Group’s Nature Publishing Group, Palgrave Macmillan, and Macmillan Education. The company reported revenues of over 1 billion USD.

Analysis / Bias

BioData Mining Journal is an open-access journal that publishes information and research related to the field of DataMining. Typical research is as follows: Advancing preeclampsia prediction: a tailored machine learning pipeline integrating resampling and ensemble models for handling imbalanced medical data.



BioMed Central (BMC) is an open-access publisher of scientific journals. There are two types of Open Access Journals, legitimate and predatory, both of which charge the author for publication. Predatory journals often lack peer review and are generally considered not credible. BioMed Central is considered a legitimate, open-access publisher that is frequently indexed in PubMed. However, BMC journals have been criticized for retracting numerous studies due to fake peer reviews or poor methodology.

Although BMC has retracted some studies in other publications that were found to be of poor methodology and not thoroughly peer-reviewed, the International Journal for Education Integrity publishes credible scientific studies that are factual and appropriately peer-reviewed.

Failed Fact Checks

Overall, we rate BioData Mining Journal as a Pro-Science open-source journal. We also rate them High for factual reporting due to a clean fact check record. (D. Van Zandt 03/26/2025)

Source: https://biodatamining.biomedcentral.com/

Last Updated on March 26, 2025 by Media Bias Fact Check


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