Protect journal integrity without slowing your editors down
Each year, citation stacking puts journal metrics, indexing status, and research credibility at risk.
Dimensions Citation Check gives editors a fast, objective, and contextually aware signal on self-citation risk at every submission, so high-risk manuscripts are identified before they reach peer review.
Access journal integrity at scale
With Dimensions Citation Check you can:
- Distinguish legitimate scholarly practice from gratuitous citation padding with a tool that justifies each self-citation by its surrounding text.
- Get the evidence needed to act decisively, with every flagged self-citation pinpointed to the exact sentence in the manuscript.
- Keep your submission window running smoothly with analysis returned in minutes and the ability to process multiple manuscripts simultaneously.
- Receive a formatted HTML report ready for the editorial record, including a clear Low / Medium / High risk rating and a full per-author breakdown.
From manual checks to scalable automated risk detection
Dimensions Citation Check is built for editorial teams who need to sift through a sea of submission data to protect journal integrity. By automating manual citation checks, the platform enables you to:
Stay in control of your editorial integrity with risk-classification
Every manuscript receives an overall editorial risk rating: Low, Medium, High. A High classification signals that closer review is warranted; a Low rating provides documented confidence that the submission meets expected norms. The rating informs your editorial team, who retains full authority over next steps.
Find the reason behind each citation risk
Dimensions Citation Check evaluates each flagged reference in context, assessing whether the citation is substantively justified or appears gratuitous. This way your team can conduct a reasoned, evidence-based evaluation.
Pinpoint citation evidence with sentence-level detection
Every self-citation is located within the manuscript text at the sentence level. Editors see exactly where the citation appears, what surrounds it, and why it has been flagged, removing the need to manually cross-reference the reference list against the full text.
Accurately attribute citations with Dimensions data
Author identities are resolved against the Dimensions database, one of the largest linked research databases available, ensuring accurate disambiguation and reliable self-citation attribution, even where author names are common or author lists are long.
Scale your workflow with batch processing
With Dimensions Citation Check you can process multiple documents simultaneously, making it as effective during peak submission windows as it is for routine daily triage.
Generate structured HTML reports for your editorial record
Each analysis generates a formatted, readable HTML report covering overall risk classification, self-citation rate, per-author breakdowns, sentence-level detail, and appropriateness assessments. This way you can provide structured evidence for any subsequent integrity conversation with authors or editorial boards.
Assess with confidence with Dimensions Citation Check
Excessive self-citation is a known risk to journal indexing, citation metrics, and editorial credibility. Dimensions Citation Check gives your editors the objective, contextual signal they need to act, at any volume, within the workflows they already use.
Get in touch to learn how Dimensions Citation Check can strengthen journal integrity and confidence across your organisation.