{
  "abstract": "A few years ago, the Disruption Index (DI) was proposed as a tool for identifying disruptive research. However, it remains unclear whether the index actually measures what it claims to measure. Our proposed survey plans to examine the extent to which the papers identified by the DI as especially disruptive are the same as the papers that scientists working in a field identify as especially disruptive. We, thus, aim to test an assumption about what the DI measures, specifically, that papers with high DI values are papers reporting revolutionary discoveries. We will focus on the field of immunology. Our survey data will be drawn from researchers who have published many papers in immunology.",
  "abstract_shown": true,
  "affiliations": [
    "Science Policy and Strategy Department, Administrative Headquarters of the Max Planck Society, Munich, Germany",
    "Max Planck Institute for Solid State Research, Stuttgart, Germany",
    "Department of Biomedicine, Center for Immunology of Viral Infections, Aarhus University, Aarhus C, Denmark",
    "Department of Mathematics, Centre for Science Studies, Aarhus University, Aarhus C, Denmark"
  ],
  "article_type": "Registered Report Protocol",
  "arxiv": null,
  "author_total": 4,
  "authors": [
    {
      "affs": [
        0,
        1
      ],
      "name": "Lutz Bornmann",
      "orcid": "0000-0003-0810-7091"
    },
    {
      "affs": [
        1
      ],
      "name": "Robin Haunschild",
      "orcid": "0000-0001-7025-7256"
    },
    {
      "affs": [
        2
      ],
      "name": "Søren Riis Paludan"
    },
    {
      "affs": [
        2,
        3
      ],
      "name": "K. Brad Wray",
      "orcid": "0000-0001-8688-3390"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/0h2b9e99qhn30.bib",
  "cited_by": 0,
  "doi": "10.1371/journal.pone.0360037",
  "fulltext_url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC13712667/",
  "id": "0h2b9e99qhn30",
  "issns": [
    "1932-6203"
  ],
  "landing_url": "https://doi.org/10.1371/journal.pone.0360037",
  "language": "en",
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "heading",
      "Analysts"
    ],
    [
      "heading",
      "Bibliometrics"
    ],
    [
      "heading",
      "Biology and Life Sciences"
    ],
    [
      "heading",
      "Careers in Research"
    ],
    [
      "heading",
      "Citation Analysis"
    ],
    [
      "heading",
      "Computer and Information Sciences"
    ],
    [
      "heading",
      "Data Management"
    ],
    [
      "heading",
      "Immunology"
    ],
    [
      "heading",
      "Medicine and Health Sciences"
    ],
    [
      "heading",
      "People and Places"
    ],
    [
      "heading",
      "Population Groupings"
    ],
    [
      "heading",
      "Professions"
    ],
    [
      "heading",
      "Registered Report Protocol"
    ],
    [
      "heading",
      "Research Assessment"
    ],
    [
      "heading",
      "Research Design"
    ],
    [
      "heading",
      "Research and Analysis Methods"
    ],
    [
      "heading",
      "Science Policy"
    ],
    [
      "heading",
      "Science and Technology Workforce"
    ],
    [
      "heading",
      "Scientists"
    ],
    [
      "heading",
      "Survey Research"
    ],
    [
      "heading",
      "Surveys"
    ],
    [
      "heading",
      "Taxonomy"
    ],
    [
      "openalex",
      "1804|scientometrics and bibliometrics research"
    ],
    [
      "plos",
      "/Biology and life sciences/Immunology"
    ],
    [
      "plos",
      "/Biology and life sciences/Taxonomy"
    ],
    [
      "plos",
      "/Computer and information sciences/Data management/Taxonomy"
    ],
    [
      "plos",
      "/Medicine and health sciences/Immunology"
    ],
    [
      "plos",
      "/People and places/Population groupings/Professions/Scientists"
    ],
    [
      "plos",
      "/Research and analysis methods/Research assessment/Bibliometrics"
    ],
    [
      "plos",
      "/Research and analysis methods/Research assessment/Citation analysis"
    ],
    [
      "plos",
      "/Research and analysis methods/Research design"
    ],
    [
      "plos",
      "/Research and analysis methods/Research design/Survey research"
    ],
    [
      "plos",
      "/Research and analysis methods/Research design/Survey research/Surveys"
    ],
    [
      "plos",
      "/Science policy/Science and technology workforce/Careers in research/Scientists"
    ]
  ],
  "openalex": "W7224020455",
  "pdf_url": "https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0360037&type=printable",
  "pmcid": "PMC13712667",
  "pmid": "42945359",
  "published": "2026-10-27",
  "publisher": "Public Library of Science",
  "ris": "https://research.draconitic.com/paper/0h2b9e99qhn30.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:17Z",
      "native_id": "10.1371/journal.pone.0360037",
      "source": "plos",
      "url": "https://doi.org/10.1371/journal.pone.0360037"
    },
    {
      "first_seen": "2026-10-31T12:23:12Z",
      "native_id": "PMC13712667",
      "source": "pmc",
      "url": "https://doi.org/10.1371/journal.pone.0360037"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "plos:immunology",
      "subfield": "immunology"
    },
    {
      "field": "medicine",
      "origin": "heading:Medicine and Health Sciences",
      "subfield": "general"
    }
  ],
  "title": "Revolutionary discoveries and the disruption index: Probing the relationship",
  "title_text": "Revolutionary discoveries and the disruption index: Probing the relationship",
  "type": "peer-reviewed",
  "updated_at": "2026-10-31T12:23:12Z",
  "url": "https://research.draconitic.com/paper/0h2b9e99qhn30",
  "venue": "PLOS One",
  "versions": []
}