Skill UI

This workflow orchestrates the entire manuscript submission process for the Journal of Applied Psychology (JAP). It guides authors by ensuring the paper addresses two critical standards: a theoretical contribution to I-O science, and high rigor in design and measurement. It routes users through specific stages—from topic selection and theory development to study design, data analysis, and revision.

A comprehensive guide for authors responding to Major Revision (R&R) decisions from top-tier academic journals. It teaches how to structure the rebuttal letter, prioritize the Department Editor's key concerns, address specific analytical and empirical objections, and ensure the revision adheres to strict formatting constraints (page caps, double-anonymization, data disclosure).

This skill guides authors on how to explicitly identify, frame, and articulate the primary contribution of a Marketing Science manuscript. It forces the transition from merely presenting results to identifying the primary dimension (substantive, modeling, methodological, data, or practice) and translating academic findings into clear, decision-relevant managerial implications. Use this when the 'so what' of the research needs to be sharpened.

A comprehensive skill for assessing whether a neuroscience manuscript meets the exacting standards of a top-tier journal. It guides authors through evaluating the conceptual advance, mandatory multi-level integration (molecular to behavioral), the necessity of causal intervention, and adhering to strict structural and methodological requirements (e.g., STAR Methods, data availability). Ideal for researchers aiming to refine their work before submission.

This guide provides a structured framework for authors aiming to submit manuscripts to Nature Geoscience. It details how to comply with strict journal limits on word count, display items, and references. By implementing a triage order—such as moving protocols to Online Methods and extended data to Supplementary Information—authors can ensure the main text remains focused, concise, and impactful.

This guide outlines best practices for Nature Geoscience authors, detailing how to separate essential narrative (Main Text) from comprehensive, reproducible documentation (Online Methods). It emphasizes grounding every quantitative claim, quantifying uncertainty, and ensuring full data and code availability to meet high academic standards and pass rigorous peer review.

This guide provides a structured methodology for authors to transform raw scientific data and multiple findings into a single, cohesive, and high-impact narrative, suitable for top-tier journals like Nature Geoscience. It focuses on identifying the single 'headline advance,' structuring the abstract using the 'Here we show' convention, and ensuring the opening paragraphs immediately convey significance to the Earth system.

A comprehensive guide for authors submitting to Nature Geoscience. It details the critical distinction between the main article text, online Methods, and Supplementary Information (SI). Learn how to ensure your core findings are stand-alone and decisive, while relegating extensive datasets, model ensembles, and derivations to the SI, maintaining academic rigor and clarity.

This comprehensive preflight checklist guides authors through the final submission requirements for academic journals, specifically targeting the Perspectives on Psychological Science (PoPS) format. It ensures compliance with critical standards including abstract word limits (200 words), APA formatting, open science data deposits, ethical declarations, and objective reviewer nominations. Use this before submitting to any scholarly portal.

This comprehensive guide outlines the scope, required evidence, and structural standards for submitting mechanistic immunology research to Science Immunology (Sci Immunol). It details how to position studies with translational relevance, emphasizing the combination of human clinical data with in vivo mouse models. It serves as a critical tool for authors to assess the manuscript's fit, adherence to AAAS standards, and overall scientific rigor before submission.

This guide clarifies the role of computation in theoretical computer science submissions, particularly for venues that prioritize theorems over empirical data. It distinguishes between legitimate forms of evidence—such as certified proof steps, constructive object discoveries, and illustrative examples—and inappropriate performance benchmarking. It helps researchers structure their work to align with theorem-based research, ensuring computational elements enhance the core theoretical contribution.

This tool helps authors determine if their food science work is best suited for a critical review or trend analysis within the scope of this specific journal. It guides authors to focus on synthesizing existing literature, identifying research gaps, and charting future directions, rather than presenting original primary experimental data.