Search across guide titles, topics, keywords, and content throughout the Researcher's Field Guide.
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A high citation count shows that a paper has attracted substantial scholarly attention, but it does not automatically prove quality, importance, or relevance. Learn what citations can tell you, what they cannot, and how to interpret them responsibly.
Read Guide →“Related articles” and “similar papers” can uncover useful research from a single relevant paper, but similarity is algorithmic rather than a guarantee of relevance. Learn how these tools work, what they can find, and when you should use them cautiously.
Read Guide →You do not need to repeat the same literature searches every week to stay current. Build a monitoring system using saved searches, database alerts, citation alerts, journal notifications, and a short routine for reviewing what arrives.
Read Guide →Newer research is not automatically more important than older research. An older study may deserve priority when it established an idea, provides uniquely relevant evidence, documents an earlier period, or remains central to the evidence base.
Read Guide →A preprint can give you early access to important research, but being new does not make it important or reliable. Evaluate its relevance, methods, evidence, transparency, version history, and publication status before deciding how much attention it deserves.
Read Guide →Grey literature includes research and other evidence produced outside conventional academic and commercial publishing. Learn what counts as grey literature and when searching for it can materially improve a literature review.
Read Guide →Government and institutional reports can contain valuable research evidence, including surveys, evaluations, administrative analyses, and technical studies. Their authority as documents, however, should not be confused with the methodological strength of the evidence they contain.
Read Guide →A report does not become unreliable simply because it was never peer reviewed, but you cannot assume that someone else has checked it for you. Evaluate its provenance, methods, data, transparency, potential bias, and the strength of the claims it actually supports.
Read Guide →Preprints can provide timely access to research before journal peer review, particularly in rapidly developing fields. Whether you should include them depends on your review purpose, eligibility criteria, and how carefully you manage their provisional and versioned status.
Read Guide →A language barrier does not automatically make an important research source unusable. Translation tools can help you determine relevance and sometimes understand substantial portions of a paper, but important methodological, numerical, or interpretive claims may require verification by a fluent reader or reliable human translation.
Read Guide →A paper belongs in your literature review because it helps answer the review question and meets the criteria appropriate to your review, not simply because it appeared in your search. Learn how to make inclusion decisions consistently and transparently.
Read Guide →Relevance and methodological quality answer different questions in a literature review. A study may be highly relevant yet methodologically weak, and whether that weakness warrants exclusion depends on the review design and criteria established in advance.
Read Guide →You rarely need to read every research paper from the first word to the last. Learn a practical multi-pass method for deciding what deserves attention, extracting the important evidence, and knowing when a paper requires a deeper read.
Read Guide →You rarely need to read every research paper from the first word to the last. The depth and order of your reading should depend on why you opened the paper and what you need to learn from it.
Read Guide →Not every paper you find deserves the same amount of attention. Screen its relevance first, then consider whether the evidence, methods, and role it may play in your research justify a deeper reading.
Read Guide →You do not need the same depth of understanding for every research paper you encounter. The more consequential the paper is to your argument, methodology, or interpretation, the more deeply you need to understand the parts on which you rely.
Read Guide →You do not need to scrutinize the methods of every paper during your first pass. Read them closely when your interpretation, citation, methodological decision, or confidence in a finding depends on how the evidence was produced.
Read Guide →You do not need to be a statistician to make sense of many statistical results. Start with the research question and comparison, then examine the effect estimate, its uncertainty, and what the analysis actually allows you to conclude.
Read Guide →You do not need to master every unfamiliar method before you can learn from a paper. First identify exactly what you do not understand, determine whether it matters to your purpose, and investigate it deeply enough to interpret the evidence responsibly.
Read Guide →Good research notes are not miniature copies of the papers you read. Record what you will need later: the study's question, relevant evidence, limitations, your interpretation, and why the paper matters to your research.
Read Guide →Do not extract everything simply because it appears in the paper. Capture the study's question, context, design, sample or data, relevant measures or procedures, findings, limitations, and why the study matters to your research.
Read Guide →Critical appraisal is more than finding limitations. Learn how to judge whether a study asked a worthwhile question, used appropriate methods, produced credible results, and made conclusions the evidence can actually support.
Read Guide →Yes. Publication in a prestigious journal can be a useful signal about selectivity and scholarly attention, but it does not guarantee that an individual study is methodologically strong or that its conclusions are justified.
Read Guide →Every study has limitations, but not every limitation invalidates its findings. The key question is whether a methodological problem merely weakens or narrows an inference, or prevents the study from supporting its central claim at all.
Read Guide →A well-executed study can still answer the wrong question. Evaluate whether the design produces the kind of evidence required by the research question before deciding how much confidence to place in its conclusions.
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