Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Nucleic Acids and Nucleotides01:20

Nucleic Acids and Nucleotides

Nucleic acids are the most important macromolecules for the continuity of life. They carry the cell's genetic blueprint and have instructions for its functioning. The two main types of nucleic acids are deoxyribonucleic acid (DNA) and ribonucleic acid (RNA).
Deoxyribonucleic Acid (DNA)
DNA is the genetic material in all living organisms, ranging from single-celled bacteria to multicellular mammals. It is in the nucleus of eukaryotes and the organelles such as chloroplasts and mitochondria. In...
Nucleic Acids02:43

Nucleic Acids

Nucleic acids are the most important macromolecules for the continuity of life. They carry the cell's genetic blueprint and carry instructions for its functioning.
DNA and RNA
The two main types of nucleic acids are deoxyribonucleic acid (DNA) and ribonucleic acid (RNA). DNA is the genetic material in all living organisms, ranging from single-celled bacteria to multicellular mammals. It is in the nucleus of eukaryotes and in the organelles, chloroplasts, and mitochondria. In prokaryotes, the...
Nucleic Acids02:43

Nucleic Acids

Nucleic acids are the most important macromolecules for the continuity of life. They carry the cell's genetic blueprint and carry instructions for its functioning.
DNA and RNA
The two main types of nucleic acids are deoxyribonucleic acid (DNA) and ribonucleic acid (RNA). DNA is the genetic material in all living organisms, ranging from single-celled bacteria to multicellular mammals. It is in the nucleus of eukaryotes and in the organelles, chloroplasts, and mitochondria. In prokaryotes, the...
Drug Nomenclature01:17

Drug Nomenclature

During the development of a new pharmaceutical, the manufacturer initially assigns a code name to the drug. Once approved, the drug receives a United States Adopted Name (USAN)—a generic, nonproprietary designation. Upon being listed in the United States Pharmacopeia, this nonproprietary name becomes the drug's official name. Additionally, the manufacturer assigns a proprietary name or trademark, which serves as the brand name under which the drug is marketed. It is worth noting that the same...
Nucleophiles02:30

Nucleophiles

The word “nucleophile” has a Greek root and translates to nucleus-loving. Nucleophiles are either negatively charged or neutral species with a pair of electrons in a high-energy occupied molecular orbital (HOMO). As these species tend to donate electron pairs, nucleophiles are considered Lewis bases as well. Negatively charged species, like OH−, Cl−, or HS−, with one or several pairs of electrons, are typically nucleophiles. Similarly, neutral species such as ammonia, amines, water, and alcohol...
Nucleic Acid Structure01:25

Nucleic Acid Structure

The pentose sugar in DNA is deoxyribose, while in RNA the pentose sugar is ribose. The difference between the sugars is the presence of the hydroxyl group on the ribose's second carbon and a hydrogen on the deoxyribose's second carbon. The phosphate residue attaches to the hydroxyl group of the 5′ carbon of one sugar and the hydroxyl group of the 3′ carbon of the sugar of the next nucleotide, which forms  a 5′ to 3′ phosphodiester linkage.
DNA Structure
DNA has a double-helix structure. The...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Mutational patterns in a large cohort of parathyroid carcinomas.

Journal of endocrinological investigation·2026
Same author

Motor Neuron Disease Mortality Trends in Australia From 1986 to 2023: A Population-Based Study.

The Medical journal of Australia·2026
Same author

The use of participatory modelling to inform management of endemic foot-and-mouth disease: A case study from Nusa Tenggara Barat, Indonesia.

Preventive veterinary medicine·2026
Same author

Long-acting parathyroid hormone receptor agonist rectifies hypocalcemia in autosomal dominant hypocalcemia type 1 mice.

The Journal of clinical investigation·2026
Same author

Large language models for simplifying radiology reports: a systematic review and meta-analysis of patient, public, and clinician evaluations.

The Lancet. Digital health·2026
Same author

Bayesian latent class analyses show that serological testing outperforms conventional diagnostic methods for the detection of Ascaris in (individual) pigs.

Veterinary journal (London, England : 1997)·2025
Same journal

Digital divide in clinical and operational artificial intelligence adoption and implementation stages: US hospital diffusion patterns and AI deserts.

Journal of the American Medical Informatics Association : JAMIA·2026
Same journal

Extending the fundamental theorem of biomedical informatics: a proposal and illustrative examples.

Journal of the American Medical Informatics Association : JAMIA·2026
Same journal

Human factors methods for designing safe health information technology: what do the experts think?

Journal of the American Medical Informatics Association : JAMIA·2026
Same journal

Equity-by-design for socially assistive robots as digital health tools.

Journal of the American Medical Informatics Association : JAMIA·2026
Same journal

Orchestrator multi-agent clinical decision support system for secondary headache diagnosis in primary care.

Journal of the American Medical Informatics Association : JAMIA·2026
Same journal

CUI-Curate: a GraphRAG-based framework for automated clinical concept curation for NLP applications.

Journal of the American Medical Informatics Association : JAMIA·2026
See all related articles

Related Experiment Video

Updated: May 11, 2026

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
05:02

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Published on: October 24, 2019

Comparing Medline citations using modified N-grams.

Rao Muhammad Adeel Nawab1, Mark Stevenson, Paul Clough

  • 1Department of Computer Science, COMSATS Institute of Information Technology, Lahore, Pakistan.

Journal of the American Medical Informatics Association : JAMIA
|May 30, 2013
PubMed
Summary
This summary is machine-generated.

This study developed a method to find duplicate Medline citations, even when they are not exact copies. The approach effectively identifies similar scientific documents using modified word n-grams, achieving high accuracy.

Keywords:
Natural Language ProcessingPubMed

More Related Videos

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

Pattern-based Search of Epigenomic Data Using GeNemo
06:38

Pattern-based Search of Epigenomic Data Using GeNemo

Published on: October 8, 2017

Related Experiment Videos

Last Updated: May 11, 2026

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
05:02

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Published on: October 24, 2019

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

Pattern-based Search of Epigenomic Data Using GeNemo
06:38

Pattern-based Search of Epigenomic Data Using GeNemo

Published on: October 8, 2017

Area of Science:

  • Bibliometrics
  • Information Science
  • Medical Informatics

Background:

  • Duplicate citations in Medline databases pose challenges for accurate literature reviews.
  • Identifying subtly different yet informationally similar documents requires advanced text analysis.

Purpose of the Study:

  • To develop and evaluate a novel method for detecting duplicate Medline citation pairs.
  • To improve the accuracy of duplicate detection, especially for documents with minor alterations.

Main Methods:

  • Utilized word n-grams for comparing Medline citation pairs.
  • Implemented n-gram modifications including deletion and substitution with terms from the Unified Medical Language System Metathesaurus.
  • Weighted n-grams using a language model score and evaluated on a dataset of 520 citation pairs.

Main Results:

  • The developed approach achieved a high F1 measure score of 0.99 for detecting duplicate Medline document pairs.
  • Incorporating word deletions and substitutions significantly enhanced detection performance.
  • Combining scores for n-grams of lengths 1-5 words yielded the best results.

Conclusions:

  • Modifying n-grams is an effective strategy for improving the detection of duplicate Medline citations.
  • High performance (F1=0.959) can be achieved using unigrams, particularly with phrase substitutions.
  • The method offers a robust solution for managing duplicate literature in biomedical databases.