PMIDigest: Interactive Review of Large Collections of PubMed Entries to Distill Relevant Information

Scientific knowledge is being accumulated in the biomedical literature at an unprecedented pace. The most widely used database with biomedicine-related article abstracts, PubMed, currently contains more than 36 million entries. Users performing searches in this database for a subject of interest fac...

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Vydáno v:	Genes Ročník 14; číslo 4; s. 942
Hlavní autoři:	Novoa, Jorge, Chagoyen, Mónica, Benito, Carlos, Moreno, F. Javier, Pazos, Florencio
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Switzerland MDPI AG 19.04.2023 MDPI
Témata:	Bibliometrics Breast cancer Citations color Databases, Factual Datasets Documentation face genes Humans Keywords Microorganisms porous media PubMed Visualization literature digest citation databases data mining scientific literature
ISSN:	2073-4425, 2073-4425
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Abstract	Scientific knowledge is being accumulated in the biomedical literature at an unprecedented pace. The most widely used database with biomedicine-related article abstracts, PubMed, currently contains more than 36 million entries. Users performing searches in this database for a subject of interest face thousands of entries (articles) that are difficult to process manually. In this work, we present an interactive tool for automatically digesting large sets of PubMed articles: PMIDigest (PubMed IDs digester). The system allows for classification/sorting of articles according to different criteria, including the type of article and different citation-related figures. It also calculates the distribution of MeSH (medical subject headings) terms for categories of interest, providing in a picture of the themes addressed in the set. These MeSH terms are highlighted in the article abstracts in different colors depending on the category. An interactive representation of the interarticle citation network is also presented in order to easily locate article “clusters” related to particular subjects, as well as their corresponding “hub” articles. In addition to PubMed articles, the system can also process a set of Scopus or Web of Science entries. In summary, with this system, the user can have a “bird’s eye view” of a large set of articles and their main thematic tendencies and obtain additional information not evident in a plain list of abstracts.
AbstractList	Scientific knowledge is being accumulated in the biomedical literature at an unprecedented pace. The most widely used database with biomedicine-related article abstracts, PubMed, currently contains more than 36 million entries. Users performing searches in this database for a subject of interest face thousands of entries (articles) that are difficult to process manually. In this work, we present an interactive tool for automatically digesting large sets of PubMed articles: PMIDigest (PubMed IDs digester). The system allows for classification/sorting of articles according to different criteria, including the type of article and different citation-related figures. It also calculates the distribution of MeSH (medical subject headings) terms for categories of interest, providing in a picture of the themes addressed in the set. These MeSH terms are highlighted in the article abstracts in different colors depending on the category. An interactive representation of the interarticle citation network is also presented in order to easily locate article “clusters” related to particular subjects, as well as their corresponding “hub” articles. In addition to PubMed articles, the system can also process a set of Scopus or Web of Science entries. In summary, with this system, the user can have a “bird’s eye view” of a large set of articles and their main thematic tendencies and obtain additional information not evident in a plain list of abstracts. Scientific knowledge is being accumulated in the biomedical literature at an unprecedented pace. The most widely used database with biomedicine-related article abstracts, PubMed, currently contains more than 36 million entries. Users performing searches in this database for a subject of interest face thousands of entries (articles) that are difficult to process manually. In this work, we present an interactive tool for automatically digesting large sets of PubMed articles: PMIDigest (PubMed IDs digester). The system allows for classification/sorting of articles according to different criteria, including the type of article and different citation-related figures. It also calculates the distribution of MeSH (medical subject headings) terms for categories of interest, providing in a picture of the themes addressed in the set. These MeSH terms are highlighted in the article abstracts in different colors depending on the category. An interactive representation of the interarticle citation network is also presented in order to easily locate article "clusters" related to particular subjects, as well as their corresponding "hub" articles. In addition to PubMed articles, the system can also process a set of Scopus or Web of Science entries. In summary, with this system, the user can have a "bird's eye view" of a large set of articles and their main thematic tendencies and obtain additional information not evident in a plain list of abstracts.Scientific knowledge is being accumulated in the biomedical literature at an unprecedented pace. The most widely used database with biomedicine-related article abstracts, PubMed, currently contains more than 36 million entries. Users performing searches in this database for a subject of interest face thousands of entries (articles) that are difficult to process manually. In this work, we present an interactive tool for automatically digesting large sets of PubMed articles: PMIDigest (PubMed IDs digester). The system allows for classification/sorting of articles according to different criteria, including the type of article and different citation-related figures. It also calculates the distribution of MeSH (medical subject headings) terms for categories of interest, providing in a picture of the themes addressed in the set. These MeSH terms are highlighted in the article abstracts in different colors depending on the category. An interactive representation of the interarticle citation network is also presented in order to easily locate article "clusters" related to particular subjects, as well as their corresponding "hub" articles. In addition to PubMed articles, the system can also process a set of Scopus or Web of Science entries. In summary, with this system, the user can have a "bird's eye view" of a large set of articles and their main thematic tendencies and obtain additional information not evident in a plain list of abstracts.
Audience	Academic
Author	Moreno, F. Javier Benito, Carlos Chagoyen, Mónica Novoa, Jorge Pazos, Florencio
AuthorAffiliation	1 Computational Systems Biology Group, National Centre for Biotechnology (CNB-CSIC), Darwin, 3, 28049 Madrid, Spain 3 Instituto de Investigación en Ciencias de la Alimentación (CIAL), CSIC-UAM, CEI (UAM+CSIC), Nicolás Cabrera, 9, 28049 Madrid, Spain 2 Instituto de Gestión de la Innovación y del Conocimiento, INGENIO (CSIC and U. Politécnica de Valencia), Edificio 8E, Cam. de Vera, 46022 Valencia, Spain
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Cites_doi	10.1038/nj7612-457a 10.1001/jama.1994.03510380059038 10.1093/database/baaa062 10.1186/s13643-019-1074-9 10.1002/jrsm.1354 10.1186/s12874-022-01805-4 10.1038/nrg1272 10.1038/s41580-021-00407-0 10.1016/j.jbi.2011.05.009 10.1093/bioinformatics/btv557 10.1093/bioinformatics/bth386 10.1136/bmjopen-2016-012545 10.1186/gb-2005-6-9-r80 10.1186/gb-2008-9-s2-s8 10.1136/bmj.312.7023.71 10.1186/1751-0473-6-15 10.1038/s41597-020-0543-2 10.1186/1471-2105-7-41 10.1137/S003614450342480 10.1093/database/baab015 10.1038/ng0704-664 10.1038/s41586-021-03819-2 10.1007/s00799-017-0214-x
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References	Lamirel (ref_6) 2018; 19 Baroukh (ref_7) 2011; 6 Zhang (ref_12) 2014; 2014 Sackett (ref_2) 1996; 312 Restrepo (ref_14) 2019; 264 Corney (ref_24) 2004; 20 Newman (ref_15) 2003; 45 Polanin (ref_10) 2019; 10 Greener (ref_26) 2022; 23 Xu (ref_22) 2020; 7 Krallinger (ref_23) 2008; 9 Jumper (ref_27) 2021; 596 Arnaboldi (ref_8) 2021; 2021 Chagoyen (ref_18) 2018; 20 Landhuis (ref_1) 2016; 535 Franz (ref_21) 2016; 32 ref_25 Borah (ref_3) 2017; 7 Douglas (ref_17) 2005; 6 Schoch (ref_20) 2020; 2020 Lowe (ref_11) 1994; 271 ref_9 Marshall (ref_4) 2019; 8 ref_5 Theodosiou (ref_13) 2011; 44 Barabasi (ref_16) 2004; 5 Hoffmann (ref_19) 2004; 36
References_xml	– volume: 264 start-page: 1490 year: 2019 ident: ref_14 article-title: Web-Based Visualization of MeSH-Based PubMed/MEDLINE Statistics publication-title: Stud. Health Technol. Inform. – volume: 535 start-page: 457 year: 2016 ident: ref_1 article-title: Scientific Literature: Information Overload publication-title: Nature doi: 10.1038/nj7612-457a – volume: 271 start-page: 1103 year: 1994 ident: ref_11 article-title: Understanding and Using the Medical Subject Headings (MeSH) Vocabulary to Perform Literature Searches publication-title: JAMA doi: 10.1001/jama.1994.03510380059038 – volume: 2020 start-page: baaa062 year: 2020 ident: ref_20 article-title: NCBI Taxonomy: A Comprehensive Update on Curation, Resources and Tools publication-title: Database doi: 10.1093/database/baaa062 – volume: 8 start-page: 163 year: 2019 ident: ref_4 article-title: Toward Systematic Review Automation: A Practical Guide to Using Machine Learning Tools in Research Synthesis publication-title: Syst. Rev. doi: 10.1186/s13643-019-1074-9 – volume: 10 start-page: 330 year: 2019 ident: ref_10 article-title: Best Practice Guidelines for Abstract Screening Large-Evidence Systematic Reviews and Meta-Analyses publication-title: Res. Synth. Methods doi: 10.1002/jrsm.1354 – ident: ref_5 doi: 10.1186/s12874-022-01805-4 – volume: 5 start-page: 101 year: 2004 ident: ref_16 article-title: Network Biology: Understanding the Cell’s Functional Organization publication-title: Nat. Rev. Genet. doi: 10.1038/nrg1272 – volume: 23 start-page: 40 year: 2022 ident: ref_26 article-title: A Guide to Machine Learning for Biologists publication-title: Nat. Rev. Mol. Cell Biol. doi: 10.1038/s41580-021-00407-0 – volume: 44 start-page: 919 year: 2011 ident: ref_13 article-title: MeSHy: Mining Unanticipated PubMed Information Using Frequencies of Occurrences and Concurrences of MeSH Terms publication-title: J. Biomed. Inform. doi: 10.1016/j.jbi.2011.05.009 – volume: 32 start-page: 309 year: 2016 ident: ref_21 article-title: Cytoscape.Js: A Graph Theory Library for Visualisation and Analysis publication-title: Bioinformatics doi: 10.1093/bioinformatics/btv557 – volume: 20 start-page: 3206 year: 2004 ident: ref_24 article-title: BioRAT: Extracting Biological Information from Full-Length Papers publication-title: Bioinformatics doi: 10.1093/bioinformatics/bth386 – ident: ref_25 – volume: 7 start-page: e012545 year: 2017 ident: ref_3 article-title: Analysis of the Time and Workers Needed to Conduct Systematic Reviews of Medical Interventions Using Data from the PROSPERO Registry publication-title: BMJ Open doi: 10.1136/bmjopen-2016-012545 – volume: 6 start-page: R80 year: 2005 ident: ref_17 article-title: PubNet: A Flexible System for Visualizing Literature Derived Networks publication-title: Genome Biol. doi: 10.1186/gb-2005-6-9-r80 – volume: 9 start-page: S8 year: 2008 ident: ref_23 article-title: Linking Genes to Literature: Text Mining, Information Extraction, and Retrieval Applications for Biology publication-title: Genome Biol. doi: 10.1186/gb-2008-9-s2-s8 – volume: 312 start-page: 71 year: 1996 ident: ref_2 article-title: Evidence Based Medicine: What It Is and What It Isn’t publication-title: BMJ doi: 10.1136/bmj.312.7023.71 – volume: 6 start-page: 15 year: 2011 ident: ref_7 article-title: Genes2WordCloud: A Quick Way to Identify Biological Themes from Gene Lists and Free Text publication-title: Source Code Biol. Med. doi: 10.1186/1751-0473-6-15 – volume: 7 start-page: 205 year: 2020 ident: ref_22 article-title: Building a PubMed Knowledge Graph publication-title: Sci. Data doi: 10.1038/s41597-020-0543-2 – ident: ref_9 doi: 10.1186/1471-2105-7-41 – volume: 45 start-page: 167 year: 2003 ident: ref_15 article-title: The Structure and Function of Complex Networks publication-title: SIAM Rev. doi: 10.1137/S003614450342480 – volume: 2021 start-page: baab015 year: 2021 ident: ref_8 article-title: Wormicloud: A New Text Summarization Tool Based on Word Clouds to Explore the C. Elegans Literature publication-title: Database doi: 10.1093/database/baab015 – volume: 36 start-page: 664 year: 2004 ident: ref_19 article-title: A Gene Network for Navigating the Literature publication-title: Nat. Genet. doi: 10.1038/ng0704-664 – volume: 596 start-page: 583 year: 2021 ident: ref_27 article-title: Highly Accurate Protein Structure Prediction with AlphaFold publication-title: Nature doi: 10.1038/s41586-021-03819-2 – volume: 19 start-page: 203 year: 2018 ident: ref_6 article-title: Automatic Summarization of Scientific Publications Using a Feature Selection Approach publication-title: Int. J. Digit. Libr. doi: 10.1007/s00799-017-0214-x – volume: 2014 start-page: 1990 year: 2014 ident: ref_12 article-title: PubMedMiner: Mining and Visualizing MeSH-Based Associations in PubMed publication-title: AMIA Annu Symp Proc. – volume: 20 start-page: 1329 year: 2018 ident: ref_18 article-title: Characteristics and Evolution of the Ecosystem of Software Tools Supporting Research in Molecular Biology publication-title: Briefings Bioinform.
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Title	PMIDigest: Interactive Review of Large Collections of PubMed Entries to Distill Relevant Information
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