
: One of the recent developments in the scope of cataloging is to create a link among the metadata records based on conceptual patterns. This can provide the necessary infrastructure to implement the “link data” methods on library catalogue. One of the newest conceptual patterns presented by the International Federation of Library Associations and Institutions (IFLA) is Library Reference Model (LRM). This research has been done with the purpose of determining functionality of Persian Medical Thesaurus Database in the form of IRANMARC on the basis of IFLA Library Reference Model.\nThis is an analytical- comparative study that was done using qualitative approaches. The statistical society consists of all the records of Persian Medical Thesaurus Database available in the software of National Library of I.R.IRAN (Rasa). First, LRM/UNIMARC/IRANMARC Mapping was developed and LRM’s elements were quantified. Then, structure and content compatibility in IRANMARC authorities format was done. Data were analyzed using descriptive statistical and SPSS v.23 software.\nThe data showed that 83.33 percent of attributes of LRM model have their equivalent IRANMARC authorities format. The average structural compatibility rate of IRANMARC with LRM model is 83.29.\nResults also indicate that there is acceptable compatibility between LRM model and IRANMARC authorities format.
Mapping, Library Reference Model (LRM), library reference model (lrm), Persian Medical Thesaurus, persian medical thesaurus, IRANMARC Authorities Format, mapping, Functionality, functionality, iranmarc authorities format, Bibliography. Library science. Information resources, Z
Mapping, Library Reference Model (LRM), library reference model (lrm), Persian Medical Thesaurus, persian medical thesaurus, IRANMARC Authorities Format, mapping, Functionality, functionality, iranmarc authorities format, Bibliography. Library science. Information resources, Z
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
