Index-1Y
Responds quickly to recent citation activity but can be volatile for small publication volumes.
Scientific Worth Index Guides
Journal Rank, Quartile and Citation Window Guide
Journal rank and quartile values only make sense when their dataset, subject group, citation window and denominator are known. This guide explains those distinctions.
Coverage and methods are continuously updated as evidence is validated. Please report errors and omissions to admin@scientificworthindex.com.
Journal rank and Q1-Q4 quartiles
A ranking orders journals by a defined score. A quartile divides that ordered set into four groups: Q1 contains the highest-ranked group, followed by Q2, Q3 and Q4. Different databases can assign different quartiles because coverage, subject categories and formulas differ.
A rank is therefore not a permanent property of a journal. It is a position produced for a specific year, evidence layer and calculation method. The same journal can move even when its own score changes only slightly because other journals enter the dataset, leave it or change position. Quartile boundaries can move for the same reason. A responsible comparison always records the source, year, table and indicator beside the value.
What rank does not prove: a high position does not establish that every article is reliable, suitable or influential. A lower position does not make an individual article weak. Journal indicators describe aggregated evidence and should not replace reading, peer review or field expertise.
Scientific Worth Index citation windows
For a selected year, the 1-year, 2-year and 5-year Index values count eligible external citations received during that selected year by articles published in the preceding one, two or five years. The numerator is divided by the number of eligible articles in the same publication window. Self citations are reported separately.
Eligible citations are weighted using the previous-year SWI quartile of the citing journal: Q1 = 1.00, Q2 = 0.75, Q3 = 0.50 and Q4 = 0.25. A citation with an unknown cited-publication year cannot be placed into a 1-, 2- or 5-year window and is excluded from that window score. This prevents an unknown year from being silently treated as recent evidence. The profile still reports broader citation totals separately where available.
Index-2Y
Balances recency and volume. The current SWI quartile view is based on this normalized window.
Index-5Y
Provides a longer horizon that can be more informative in disciplines where citations accumulate slowly.
A worked profile reading
Consider a hypothetical journal whose 2026 row reports Rank 240, Q2, Index-1Y 2.10, Index-2Y 3.40, Index-5Y 4.05, 180 articles and a 7.50% self-citation rate. A useful reading is not simply "this is a Q2 journal." The 5-year value being higher than the 1-year value suggests that its longer publication history currently carries more citation evidence than its most recent one-year window. The article count tells us that the denominator is not a single small issue. The self-citation rate provides context but is not, by itself, evidence of manipulation.
The next step is to inspect neighboring years. If Index-2Y rose from 2.60 to 3.40 while the article count remained similar, that is stronger trend evidence than a rank movement alone. If output fell sharply, the normalized score may move even when the weighted citation numerator is stable. The annual table allows those possibilities to be separated instead of turning one badge into a conclusion.
For a reproducible numerical calculation, see the worked 2-year Index example, which shows how quartile-weighted citations and the publication-window denominator produce the displayed score.
WOS quartile versus Scientific Worth Index Quartile
“WOS quartile” commonly refers to quartile information in Web of Science-related journal reports. Scientific Worth Index Quartile is independently calculated from this project's own coverage and 2-year Index ranking. The values should not be treated as interchangeable.
The same caution applies to Scopus-linked quartiles, SCImago Journal Rank, CiteScore and other products. They can differ in document coverage, subject assignment, citation windows, weighting, exclusions and update schedules. A difference is not automatically an error. It may be the expected result of asking a different question of a different dataset. SWI labels its own values and keeps annual evidence visible so that users can identify which system produced a claim.
Common interpretation mistakes
| Mistake | Better practice |
|---|---|
| Quoting Q1 without a year or source | Record the ranking system, data year, evidence layer and subject context. |
| Treating missing data as zero | Use a dash as unknown or unavailable evidence; do not infer no impact. |
| Comparing raw totals across very different output volumes | Read article counts and normalized Index values together. |
| Using self-citation rate as an allegation | Treat it as context that may justify closer examination, not a verdict. |
| Judging an article or author only by the journal | Evaluate the work itself and use journal evidence as one contextual input. |
| Comparing fields with different citation rhythms | Prefer a relevant subject group and inspect longer windows where appropriate. |
How to read a journal profile
- Confirm the journal identity using title, ISSN or E-ISSN and publisher evidence.
- Check the selected data year, evidence layer and publication window.
- Compare the journal within an appropriate field and subject rather than across unrelated disciplines.
- Review article counts alongside citation-based scores so the denominator remains visible.
- Inspect total, external and self-citation indicators separately.
- Use the annual table to identify changes rather than relying on one current value.
- Check the data update date and report a disputed identity, field or year with primary supporting evidence.
SWI profiles are designed to support this sequence: identity first, then current indicators, annual evidence and methodological context. A correction request should include the profile URL, exact disputed field or year and a reliable source. That makes a correction testable and avoids replacing one unsupported claim with another.