Journal impact factor of Database management systems
Journal impact factor of Database management systems is a measure reflecting the mean number of citations to the latest articles published in the journal. Journal impact factor of Database management systems is used as a substitute for the significance of this journal limited to its field. The journals with highest impact factor will be given more importance compared with the journals having low impact factor. Journal impact factor is given to the articles published in journals, books, patent document, thesis, project reports, newspapers, conference, documents published in internet, notes. Impact factor of a journal is calculated yearly/ half yearly/ quarterly or monthly basis. In a given year, the impact factor of a journal is calculated based on mean number of citations that are recorded in the two preceding years. New journals will receive an impact factor only after the two years of its indexing. Journal impact factor of Database management systems can be used to the compare with other journals published on this field. Impact factor cannot be used to compare journals dealing with cross disciplines. Impact factor of a journal is fully dependent on the citations get for the articles published in that journal. The Journal impact factor of Database management systems is given based on the citations of the articles published in this journal which deals with Information technology, DBMS, Relational database management system, MySQL, MariaDB, Microsoft SQL Server, Microsoft Access, Oracle, SAP HANA, IBM DB2, Libreoffice base. There are many ways to improve the impact factor of a journal. For example, journals try to publish mostly review articles than other things as they will have most views by the users.