JDMT
  • DOI Number
    10.17303

  • Impact Factor
    N/A

pubmed
Indexed
Articles

PMID: 24791013

PMCID: PMC4002051

Multiple Functional Motifs Are Required for the Tumor Suppressor Activity of a Constitutively-Active ErbB4 Mutant

PMID: 25844392

PMCID: PMC4381351

Dual-Targeted Cytotoxicity of Gemcitabine–anti-EGFR and Epirubicin–anti-HER2 Conjugates Against Chemoresistant...

PMID: 26086027

PMCID: PMC4467908

Immunomodulatory Response Triggered by the Alkaloids, 3-Amino-7-Benzylbenzimidazo[3,2-a] Quinolinium Chloride (ABQ-48)...

PMID: 28393111

PMCID: PMC5380921

The Cox-2 Inhibitor Meloxicam Ameliorates Neuroinflammation and Depressive Behavior in Adult Mice after Splenectomy

PMID: 32462055

PMCID: PMC7252215

Bovine HDL and Dual Domain HDL-Mimetic Peptides Inhibit Tumor Development in Mice

PMID: 33644256

PMCID: PMC7909468

Endometriosis: A Malignant Fingerprint

PMID: 34395868

PMCID: PMC8362927

Pharmacological Effects of Selected Medicinal Plants and Vitamins Against COVID-19

Journal of Data science and Modern Techniques

Journal of Data science and Modern Techniques (JDMT) is an international open access, scholarly peer-reviewed journal publishing high quality articles in all areas of data science and modern techniques, especially current research, new concepts, novel methods and approaches for early detection and reporting new methods on basic and advanced aspects of data science and modern techniques.

J

ournal of Data science and Modern Techniques (JDMT) aims at rapid publication of high quality results in Data science and Modern Techniques while maintaining rigorous peer-review process. All accepted papers will be appearing online immediately.

Important Info

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Editorial Board

Most Interesting Facts

  • ISSN No

    2996-0134

  • Portico

    Digital Preservation

  • E-Mail

    jdmt@jscholaronline.org

  • Phone

    +1 (669) 274-0999

J

ournal of Data science and Modern Techniques (JDMT) aims at rapid publication of high quality results in Data science and Modern Techniques while maintaining rigorous peer-review process. All accepted papers will be appearing online immediately.

As Journal of Data science and Modern Techniques follows the Creative Commons Attribution License and scholars open access publishing policies, readers can freely access the published articles through online and JDMT will be kept up to date with latest advances in the field of Data science and Modern Techniques. All published articles will be assigned with unique Digital Objective Identifier provided by Cross Ref.

Publication of article types

  • Original research articles: Describes original research within the scope of the journal.
  • Case reports: Reports of clinical presentations describing a diagnostic or therapeutic dilemma followed by evaluative studies.
  • Editorial comments: Introduce current research and comment on major advances and developments in the field.
  • Methodology: Present a new experimental method, test or procedure. The methods described may be completely new or a better version of already existing one. The method should demonstrate all the possible tests and results.
  • Rapid communications: Short papers presenting highly significant and original material.
  • Review articles: To review the progression of a research in the field and make suggestions for future work includes authoritative, comprehensive, descriptions of any subject within the scope of Journal of Data science and Modern Techniques (JDMT).
  • Letters to the editor: Letter consisting of comments directly on publications of journal which are already published or introduces a specific issue of a general interest.