Indexing Overview

Indexing and metadata quality ensure lipid research is discoverable by clinicians, researchers, and policymakers.

IJL prepares structured metadata, DOI registration, and standardized keywords to improve visibility across scholarly platforms.

Accurate metadata improves discovery in lipid databases and scholarly search engines.

We encourage authors to document assay conditions so lipid measurements remain comparable.

Provide uncertainty measures for key estimates when applicable.

Include calibration standards and quality control materials for lipid assays.

Report variability across cohorts or sites for multicenter lipid studies.

Discuss biological plausibility for lipid associations observed.

Describe tissue sources and sampling methods for lipid analyses.

Metadata Quality

Accurate author details, affiliations, and funding statements improve indexing accuracy and citation tracking.

• ORCID identifiers where available
• Clear keywords and abstracts
• Accurate references with DOIs
• Funding and grant acknowledgments

Verify author names, affiliations, and funding details to avoid indexing delays.

Transparent reporting of sample handling helps readers interpret lipid stability.

Explain how confounders were selected in observational lipid studies.

Document batch effects and correction methods for multi run lipidomics.

Describe statistical correction for multiple testing in lipidomics.

Describe how lipid ratios or indexes were calculated.

Provide context for effect sizes in relation to clinical thresholds.

Indexing Readiness

Provide consistent keywords to improve lipid research discoverability.

Summaries linking lipid outcomes to clinical relevance strengthen translation to care.

Report software versions and packages to support reproducibility.

Provide details on internal standards and extraction protocols.

Explain how missing lipid values were handled during analysis.

Include quality assurance steps for instrument calibration.

Clarify whether analyses were preregistered or exploratory.

Indexing Pathway

Ensure abstracts capture lipid methods and outcomes clearly.

Define lipid classes and abbreviations clearly for multidisciplinary readers.

If data access is restricted, describe approval processes and timelines.

Summarize participant demographics to contextualize lipid findings.

Provide a rationale for chosen lipid biomarkers or panels.

Report confidence intervals for key lipid effects.

Summarize limitations related to lipid measurement or sample size.

Visibility Support

Authors can boost visibility by sharing accepted manuscripts through institutional repositories and professional networks.

For indexing verification requests, contact [email protected].

Clear lipid reporting improves interpretability for clinicians and metabolic researchers.

When using lipidomics, report normalization and quality control procedures.

Describe sample storage temperatures and timing to support lipid stability assessment.

Clarify fasting status or dietary controls when relevant to lipid measures.

Highlight how lipid findings inform prevention or therapeutic decisions.

When using animal models, specify strain, diet, and lipid outcome timing.