Academic World AuthorLab Pre-Submission Manuscript Review for AWJSEI

Author-focused manuscript quality check

Upload your manuscript. Receive a strict academic pre-submission review.

AuthorLab reviews manuscripts before formal submission to AWJSEI. It detects sections with confidence levels, applies a strict 100-point academic rubric, and gives targeted feedback on structure, novelty, originality claim, methodology, evidence, ethics, and innovation contribution.

Important: AuthorLab is a developmental pre-submission check. It does not guarantee acceptance, does not replace plagiarism checking, and does not replace editorial screening or peer review.

Manuscript upload and review

Upload DOCX, PDF, or TXT. You may also paste the full manuscript text if extraction is imperfect.

Strict review mode

AuthorLab scoring framework

Strict 100-point pre-submission rubric

AuthorLab does not decide acceptance. It helps authors identify weaknesses before submission using a transparent academic rubric with special emphasis on innovation contribution, novelty claim, methodology, and evidence.

Area reviewedPointsWhat AuthorLab checks
Structure and completeness10Title, abstract, keywords, major sections, references, declarations.
Abstract and keywords10Purpose, method, findings, contribution, word length, discoverability.
Introduction, problem, gap, and objectives12Problem clarity, research gap, objectives, rationale, contribution statement.
Literature and scholarly positioning10Recent literature, synthesis, gap positioning, scholarly relevance.
Methodology / technical design15Design, data, sample/materials, procedure, analysis, validation, replicability.
Results, evidence, and analysis10Evidence quality, tables/figures, results linked to objectives, data support.
Discussion, implications, and conclusion10Interpretation, comparison with literature, limitations, practical implications.
Novelty and originality claim8Clear novelty claim, research gap, specific contribution, originality-risk signals.
Innovation contribution15New/improved solution, usefulness, evidence, scalability, scientific/engineering value.
Ethics, transparency, and compliance10Ethical approval, consent, conflict, funding, data availability, AI-use statement.