CrossMark Version Control
Supports transparent article update signaling for readers and institutions tracking record changes.
Indexing and Discoverability
Journal Indexing
Journal Indexing
Journal of Migraine Management
Structured indexing and discovery support designed to maximize visibility for migraine evidence and clinical research outputs.
45%APC Savings
Global -Research Community
24/7Editorial Support
Discovery Strategy
How JMM Improves Article Visibility
Indexing and discovery are treated as core publishing outcomes, not afterthoughts.
Journal of Migraine Management publishes metadata in structured formats designed for citation systems, discovery engines, and library workflows used by headache clinicians and neurology researchers.
Our indexing approach combines persistent identifiers, discoverability channels, and quality metadata controls so relevant readers can find, cite, and reuse your work quickly.
Crossref Similarity Check
Helps maintain originality controls and publication integrity standards.
Google Scholar
Improves discoverability for clinicians, students, and researchers searching migraine evidence.
WorldCat (OCLC)
Enhances catalog-level visibility for libraries and institutional search environments.
Additional Discovery Channels
Platforms That Extend Reach Beyond Core Indexing
The journal supports visibility across multiple research discovery services.
Semantic Scholar
AI-assisted literature discovery for related concept mapping and citation context.
OpenAlex
Open scholarly graph discovery that improves interoperability across research analytics tools.
CORE
Aggregated open-access discovery for repository and journal content searches.
BASE
Academic search engine indexing that broadens institutional and cross-disciplinary retrieval.
Discovery timelines vary by platform, but metadata is prepared for rapid ingestion after publication. This helps migraine evidence reach clinical readers and researchers faster.
Author Expectations
What Improves Indexing Performance
Authors can materially improve discoverability by preparing clean metadata and precise manuscript language.
- Use specific, high-signal titles and clinically meaningful keywords.
- Provide complete author affiliations and ORCID identifiers where available.
- Ensure abstracts clearly state population, intervention, and major outcomes.
- Use consistent terminology for migraine subtypes and treatment classes.
- Maintain accurate references to strengthen citation graph linkage.
PubMed note: PubMed discoverability depends on eligibility and deposition pathways. NIH-funded manuscripts may become visible through PMC workflows when requirements are met.
Discoverability improves when titles and abstracts include precise migraine terminology rather than broad generic language. Specific phrasing helps retrieval engines connect studies to relevant clinical queries.
Accurate author metadata, affiliations, and identifiers strengthen citation graph linkage and institution-level discoverability. Metadata quality is a measurable contributor to long-term impact.
Reference accuracy also affects discoverability because citation linking depends on reliable bibliographic data. Small formatting errors can weaken downstream indexing and citation resolution performance.
Authors should update post-acceptance metadata quickly when requested so external systems ingest complete records. Timely metadata completion supports faster visibility across discovery channels.
Structured abstracts that clearly separate objective, methods, and key outcomes improve machine interpretation for search and recommendation systems. This can increase relevant reader reach after publication.
Well-indexed articles are easier for guideline groups and systematic reviewers to identify, which can improve translational influence over time. Discovery quality is therefore a strategic publication outcome.
Publish With Strong Discovery Signals
Submit your manuscript with indexing-ready metadata and reach global readers through trusted scholarly discovery channels.
Editorial support: [email protected]