Introduction: For emergency patients, the quality of the treatment based on evidences and information, are key factors in their lives or dead or even disabilities for the rest of their lives. Considering this point the importance of information for timely decision making, and introducing appropriate plan for patients, in intensive centers such as emergency centers -in which lives and death of patients is a matter the question- would be raise, how information management would be act in terms of answering complete and timely to information needed by medical personals in ER?. This research is aimed to identification of Information management on emergency departments at Esfahan University of Medical Sciences

Methods: This is an observational study and its study community is the hospitals of Isfehan University of Medical Science. Tools for collecting data are check lists based on joint commission of standards of health care organizations, and researcher made questions, which after validity and reliability evaluation in six hospitals, have been completed. To achieve the goals and answer to research questions of SPSS software has been used.

Results: Maximum of most complete identities recorded data in emergency patients records, were in AL Zahra hospital (98.1%), and minimum to Kashani hospital (83.3%) (P<001). Statistical information have been recorded and collected in 70.8% of studied ERs. Frequency distribution for storage and retrieval of Emergency data showed that 50% of storage and retrieval of data have been done correctly. Result showed that in 64.8% of hospitals storage and retrieval of data have not been done at all, and the statistical information have been used as non-processed (raw) data. In 66.6% of cases the assignment of data was suitable. 

Conclusions: In studied hospitals' ERs information management in medical documents are desirable but least for appropriate for collecting data. A research results have been done in ER at Iran University hospitals showed different findings, comparing to this research and the data recording by reception personals in Isfehan University of Medical Sciences had better conditions.

Introduction: J.E.Hirsch introduced H Index to scientometric domain , representing actual scientific profitability quality of a researcher’s publications and is equal to effective index for researchers.

Literature review:Studies showed that documents database have provided different H scores for each researcher and for different scientific fields. Despite the utmost advantages of H-index it also have some flaws such as need to use complementary indices such as m, r, g index.

Conclusions:The strength point of H index, is its ability to use in limited levels which is an complementary for other bibliomeetric exist indexes. This Index ,with others, could be a suit index to improvement scientific levels for researchers, scientist, and scientific board members.

Introduction: one of common methods for scientific activity assessment is scientometric this is possible with citation databases like Web Of Science (WOS).

Methods: This is a descriptive-applied study. Data were selected via searching in WOS. The research society of the study was 625 records.

Results: Most records of Iran University Medical Sciences have published in 2006 and surgery subject area had highest hits. Immunology subject area had highest co-authorships.

Conclusion:Although co-authorship among authors of this university has dramatic results, scientific products is very low, therefore research policy-makers should consider this aspect.

Introduction: In Scientometrics evaluations, the main criteria for determining the rank of a country is the rate of participation in generating science, technology and innovation, i.e. total participation in the process of developing global science. This research applies Scientometric methods to study the growth rate and trend of medical fields' scientific productions in Iran during 1978-2007.

Methods: This is a descriptive-survey research includes the English articles in medical fields indexed in SCIE database during 1978-2007. These articles matched with NLM classification. To gather these information, we used advanced search web of science database with limited time for 6 periodic five time years.

Results: We found 1901 records from SCIE, from 29 medical fields of SCIE, the most pharmacology and biochemistry fields, lowest in nursing and geriatrics. Fifty three per cent were without citation in SCIE. The Tehran University of Medical Sciences considered most active in 19 medical fields. The least number of articles found in 1983-1987 and 1988-1992 the most number in 2003-2007. 

Conclusion: Lack of citations in most of Iranian articles in SCIE, might because of publication in low impact factor journals, or deported of developing countries from valid international journals. One of the relevant factors in decline in second and third periods could be the Iran and Iraq war in 1981.Including of universities names with the different name has caused to exclude Iranians’ universities names in world rankings. We concluded that production in medical sciences is increasing intensively its continuance trend depends on interaction between Iranian and foreign researchers, increase in educational budgets, collaboration with universities in the world.

Introduction: This research was aimed to analyze mapping scheme of Traditional Iranian Medicine (TIM) with structure of common language of meta- thesaurus and Semantic network Unified Medical System Language (UMLS). The domain, location and relation of TIM in the UMLS is designed, and recitation of location and proportion of the TIM’s concepts are provided.

Methods: This is a triphasic research: A) System analysis, B) Documentary Analysis, and C) System designing method. In A phase, the structure of UMLS and TIM are studied and UMLS structure is searched for the ideal location of TIM. In B phase, literature and resources of TIM analyzed, then three examples: “Urine color” sign, “Epilepsy” disease, and “valerian” herbal drug, with whole of their branches, was extracted from among of total category of TIM science are prepared. Finally in C phase, the B phase examples are mapped with the UMLS concepts. In this case, conceptual and semantically relations analyzed and some new semantically relation are proposed.

Results: Output of this research is a prototype of TIM structure and its semantically relation with UMLS concepts in the Unified Medical Language System.

Conclusion: Although the current domain of UMLS has been covered suitable number of TIM’s concepts, but UMLS cannot reflex complete and formal structure from TIM’s knowledge. The hierarchical structure of TIM is designed the based on international models,and the location of TIM science in UMLS structure and conceptual relation between TIM concepts and UMLS concepts are proposed for the first time.

Introduction: In the universities and academic institutes, most of the research activities are performed in departments and research centers, which are evaluated by measurement of indices such as number of academics and students, number of publications and patents, citation analysis, journals in which their reports have been published, the amount of grants etc.

 Methods: Academic department is considered as the evaluation unit of researcher’s activities. Two important parameters of departments’ “research focus” and number of academics who are active in the “field of focus” have not been considered in any evaluation systems yet.

Results: In this article, two new indices entitled “subject h-index” (hs-index) and “researcher for subject h-index” (hrs-index) are proposed for measurement of these parameters.

Conclusion: Both of suggested indices make the assessing and monitoring of research focus and active scientists feasible.

Introduction: The purpose of this study was to analyze Iran's scientific status of neuroscience field in citation indexes between 2002 and 2008.

Methods: In this descriptive survey, Web of Science (WOS) database was used for data collection. The Data were gathered from the subject areas of this database and then categorized in 14 subfields according to experts opinions of the field. Impact Factor and number of citations were the indexes considered to determine the citation patterns. Data analysis was performed by using HISTCITE, Excel 2007, and SPSS 18.

Results: A rising trend for neuroscience papers was observed between 2005 and 2008 with neuropharmacology being the most interested subfield of publication (264 papers). There were fewer papers on artificial intelligence, neurohistory, and psychopharmacology than other neuroscience subfields. Most international collaboration was seen in neurology field of study (46 papers). Iranian researchers had scientific collaboration with other countries in 168 papers in which Iranian authors were the first authors (58.33%). 87% of the papers were published in journals with an impact factor between 0 and 4. Researchers of Tehran University of Medical Sciences were the author of 25% of papers.

Conclusion: As the progress in the field of neuroscience, in Iran, was mostly focused on the subfields of pharmacology and neurology, it is recommended to give high priority to other subfields in health policies.

  Introduction : Currently, qualitative research, because of its explanatory and semantic findings, has become popular. There is a growing literature on qualitative research motivating researchers on topics like : live experiences, excitements and feelings, social motions, interactions between men and societies, causes, emergence and degeneration of phenomena to investigate. Thus, the required tools for this kind of research are extending in number every day. This study was conducted on qualitative research and its data analysis software by a literature review.

  Methods: Principles of qualitative research were explained by experts’ ideas and qualitative research approach in functional areas including librarianship and information sciences. Principles of qualitative research were also explained concerning software applications. Finally, some of the most applicable software for qualitative data analysis was introduced in details.

  Results : Qualitative research follows men and phenomena in their natural environment, and its findings are explanatory in nature. Moreover, there is no standard research method, or any definite method of analysis.

  Discussion : The findings suggest that it is necessary to use standard tools for data processing in qualitative research as there is the likelihood that the results be invalid and blended with personal judgments. Although the software does not deliver standard methods for data analysis, it may control different stages of research including information collection, data classification and report generation which would eventually improve the status quo.

  Keywords : Qualitative Research, Data Analysis, Statistical Soft Ware, Research Methods