Different units have different requirements for paper duplicate checking, and different paper duplicate checking systems have different duplicate checking results for the same paper. Because the database and algorithm of each paper duplicate checking system are different, the detection results are definitely different. In fact, even if the same paper is tested in the same duplicate checking system, the results will fluctuate. Because many duplicate checking systems are filled with database data, and the online data is updated in real time, the results of duplicate checking are also fluctuating. We need to know what the company's duplicate checking system is, and then choose the corresponding duplicate checking system for testing, which can save time. Under normal circumstances, the duplicate checking rate of undergraduate papers is generally between 20% and 30%, and that of master's and doctoral papers is relatively strict, generally between 5%- 10%, and that of journal papers is generally between 10%-20%.

Based on the "Education Big Data Alliance Platform", PaperTime gives priority to obtaining educational data resources, and adopts multi-level fingerprint comparison technology and deep semantic recognition technology to realize "real-time duplicate checking, online modification and synchronous weight reduction" in one step.

Database scope: academic journals, dissertations, conference papers, Internet and English databases (covering English materials of journals, masters and conferences).

Detection scope: philosophy, economics, management, law, social science, education, literature, art, history, science, engineering, agriculture, medicine, political science, military science, etc. At the same time, English and some small language articles can also be detected.