STEP 1
Collect and deduplicate
Put search results, supervisor PDFs, Zotero records, and local files together, then remove duplicates and clearly irrelevant material.
Paper Reading / Literature Screening
Too many papers to read? Screen first, then read closely
Literature backlogs usually come from an unclear reading order. Rank papers by topic relevance, method value, evidence quality, and writing purpose. Let AI extract key information, then reserve your time for papers that require close reading.
Four-level literature screening table
Do not read everything
Answer these six questions when the paper list is too long
An executable workflow for reading papers quickly
STEP 2
Screen in bulk
Use AI to extract titles, abstracts, questions, methods, data, and conclusions and estimate relevance to the task.
STEP 3
Group by purpose
Place papers into review background, method comparison, experimental evidence, case examples, or future work.
STEP 4
Close-read only key papers
For highly relevant papers, read the introduction, methods, experiments, discussion, and limitations and record usable evidence.
STEP 5
Verify against the original
Return to the original paper for every conclusion you plan to cite and confirm that it supports the claim.
How Acadwrite supports screening
Extract information and screen papers in bulk with Acadwrite
Acadwrite reads multiple papers and extracts each research question, method, experiment, main conclusion, and limitation. Review structured summaries before deciding what enters close reading, the literature review, or a group presentation.
- Extract methods, experiments, conclusions, and limitations after upload
- Organize multiple papers by topic and purpose
- Retain original sources for important conclusions
- Continue organized results into a review outline or presentation
Frequently asked questions
How can I quickly decide which papers deserve close reading?
Screen by topic relevance, methodological value, evidence quality, and current purpose, then classify papers as essential, citable, or deferred. Only papers that affect the review structure, research design, or presentation conclusions need close reading.
Can AI miss important information when reading papers?
Yes. AI is suitable for first-pass extraction and ranking. Any conclusion used in writing, presentations, or references must still be verified in the original context.
How does Acadwrite help screen literature?
Acadwrite organizes multiple papers by research question, method, experiment, conclusion, and limitation for ranking. Selected material can continue into a review, outline, or group-meeting deck.