This research is a comparative evaluation of PJCR and SID from the viewpoint of journal selection criteria. At first, for accomplishing this study, some criteria which are needed for evaluating PJCR and SID were extracted from the texts and ISI database, then they were used after testing their validity. Some information is gained from the observation and the other are gathered from a checklist which includes 4 general criteria and 22 sub-criteria. In some cases, necessary information was completed via interview with some experts and managers in their databases. Also, for some criteria, separate questionnaires are designed, and other information is extracted from some journals that are indexed in their databases and other information is gained from the users and article's authors.This study was carried out using different methods, the library method and in some cases the survey method and for analyzing and comparative the results. We also used the evaluation technique. The results show that PJCR is more in concordance with journal selection criteria than the SID

Background and Aim: Science production is the main basis of all programs to achieve sustainable development. Currently, the most important indicators of science production are the number of articles indexed in databases. In the present research, the scientific output of the work of researchers at Birjand University of medical sciences, manifested in the “Web of Science” database were taken into conSIDeration by means of scientometrics indicators.Materials and Methods: This work is a descriptive-applied study. The population was the scientific output of BUMS’ researchers which was indexed in Web of Science during 2000-2011. For data analysis descriptive statistics and scientometrics methods were used.Results: The study population included 81 articles that had been cited 163 times in total. Maximum number of records (57) covered original articles and the topic of most papers (11%) was toxicology. Maximum number of scientific papers (22.2 percent) were indexed at this database in 2009 and the highest number of citations to all papers (46.6) referred to the year 2011.Most international collaboration of the researchers was with authors from The United States (8.4 percent), and in the national level, it was with Mashhad University of Medical Sciences (27%). BUMS Hirsch index was 6.Conclusion: Growth of scientific production and citations is increasing, but it is less than expected.

in scientific documents are rich sources of information. The first step in retrieving information from such figures is to build a valid figure database. To this end, we developed a system for generating figure database from scholarly Persian documents, in large scale. The first step is to parse files and extract figures and their corresponding descriptions. There are two general approaches for extracting figures from documents. One is based on image processing methods and another is based on processing the file primitives. The focus of this paper is on latter one. This approach is shown to be a better choice for the search engines because of its speed and scalability properties. We propose a structure based method that extracts the figures and their descriptions by analyzing the file layout. This information is saved in a database with a specific structure and is indexed for retrieval in the search engine. The proposed algorithm was implemented in Python programming language. As a benchmark we used the basic method in the literature which is based on the processing PDF file. We employed the proposed method in a case study on Iran scientific information database (Ganj). In this regard, 150 scientific documents were randomly chosen from Ganj database and analyzed using two mentioned methods. Based on our experimental results, the proposed method is more efficient than the basic method especially for Persian documents. There are many unanswered challenges for Persian documents when using the basic method. The number of noise images resulted from the basic method is high and Persian text extracted is not well organized. Our proposed method overcomes some of these drawbacks and is recommended for generating figure database from scientific Persian documents. The proposed method is able to correctly extract about 40% of the images with their corresponding descriptions which is 10% better than the basic method.

Introduction: Since international increase of scientific productions is an indicator in assessing different countries, the purpose of this research is to investigate the scientific productions of Iranian type I pharmacy faculty members (universities of Isfahan, Tabriz, Shiraz, Tehran and Mashhad) in the Institute for Scientific Information (ISI) during 2006-2008.Methods: In this scientometric research the scientific products of 261 faculty members of Iranian type I pharmacy colleges, indexed in the ISI during 2006-2008, were studied. In order to collect data, the ISI was first searched for the names of all Iranian type I pharmacy faculty members.Then, their addresses and other necessary data were extracted. Finally, the data was analyzed using the analytical software in the ISI and the results were shown in tables.Results: The results show that 84% of the research population were men and 16% were women.Therefore, men had more scientific productions (more than 80%). The scientific productions of Iranian type I pharmacy faculty members indexed in the ISI were 362 articles (89.50% men, 10.52% women), 409 articles (89.48% men, 10.52% women), and 411 articles (92.94% men, 7.06% women) in 2006, 2007 and 2008, respectively.Conclusion: Based on our results, schools of pharmacy at Tehran, Tabriz, Mashhad, Shiraz, Isfahan and Shahid Beheshti universities of medical sciences produced 42%, 18%, 13%, 11%, 10% and 6% of the scientific productions, respectively. Scientific production growth rate was also found to be 4%.

Introduction: Since the design of bibliographic databases affects their usefulness in medical subjects and how they can be utilized by the users, and also conSIDering the necessity of adherence to international standards in designing, this study aimed to assess five Persian bibliographic databases, including IranMedex, Irandoc, Magiran, ParsMedline and Scientific Information Database (SID), using the Gulliver online database evaluation tool.Methods: This survey was conducted in 2009 using a checklist, the validity of which was confirmed. The data was collected through an evaluation tool named "Gulliver online database evaluation tool". All descriptive analyses were performed using SPSS 15.Results: The checklist included 12 criteria: entry page, searching, limiting, record viewing and manipulating, graphics, record retrieval, selective dissemination of information services, general design, terminology, icon design and placement, help and advanced features. In general, IranMedex and Irandoc achieved the highest scores (45.8% and 45% of the total score, respectively). ParsMedline, SID and Magiran scored 40%, 38.3% and 37.5%, respectively.Conclusion: Since the highest score among the studied databases was lower than 50% of the total score defined by the evaluation tool, it is concluded that Persian bibliographic databases are not designed properly. Therefore, it is necessary to supervise database designing and their adherence to international standards.

Background and Aim: The main aim of Information storage and retrieval systems is keeping and retrieving the related information means providing the related documents with users’ needs or requests. This study aimed to answer this question that how much are the system relevance and User- Oriented relevance are matched in SID, SCI and Google Scholar databases.Method: In this study 15 keywords of the most repeated ones that were related to “Human Information Interaction” and its subheadings were selected and searched both in Persian and in English in the mentioned databases for two one week periods. The results were arranged according to the system relevance based on the retrieval and displaying order. From each search the first 10 results were selected and sent to the subject experts and asked them to rank from 1 to 10. Data were descriptively and analytically (using Spearman correlation test) analyzed by SPSS software.Results: Subject experts’ relevance score in Persian was lower in ISC than SID and higher than Google Scholar. The most subject relevant records were in the third score of system relevance. The records with the lowest system relevance score also had the lowest subject experts’ relevance score. SID in Persian had a strong and positive relation between the both scores but there was no relation in ISC. The highest matching level of the both scores was seen in SID in both languages on the both periods which means more likely to retrieve relevant records.Conclusion: There is a similar retrieval pattern in both languages with subject expert’s view in SID showing the highest precision which was the lowest in Google scholar in Persian