Digital Science's Dimensions is envisaged as a next-generation research and discovery platform for more efficient access to cross-referenced scholarly publications, grants, patents, and clinical trials. As a new addition to the growing open citation resources, it offers opportunities that may benefit a wide variety of stakeholders of scientific publications, from researchers and policy makers to the general public. In this article, we explore and demonstrate some of the practical potentials in terms of cascading citation expansions. Given a set of publications, the cascading citation expansion process can be iteratively applied to a set of articles so as to extend the coverage to more and more relevant articles through citation links. Although the conceptual origin can be traced back to Garfield's citation indexing, it has been largely limited, until recently, to the few who have unrestricted access to a citation database that is large enough to sustain such iterative expansions. Building on the open application program interface of Dimensions, we integrate cascading citation expansion functions in CiteSpace and demonstrate how one may benefit from these new capabilities. In conclusion, cascading citation expansion has the potential to improve our understanding of the structure and dynamics of scientific knowledge.
Developing countries may pay attention to bibliometric indicators in accordance with their scientific development plans. Bibliometrics research topics and bibliometric indicators have grown dramatically in Iran since 2000 as a part of the post-war reconstruction programs. This paper aims to highlight how scientometrics may attract attention in developing countries such as Iran in response to national movements in education and science. An in-depth review on available guidelines for promotion of innovation, science, and technology in Iran was done followed by a review on previous research in this topic. Further data were gathered from Scopus and other sources. The findings show a considerable growth in research output of Iran in recent years and expansion of bibliometrics studies and jobs accordingly. Combined with research output measures, more attention was found in academia about cross-section development of science and technology in Iran. The demand in society has led to the foundation of scientometrics programs in Iranian universities as well as scientometrics departments in central libraries and research deputies in major academic institutions. The changing image of science and research in Iran has a relation with the growth of scientometrics academic and professional departments. The lessons taught from this mutual collaboration can be used in other developing nations.
The utmost intention of this work is to identify various field areas which are most prevalent in library and information science education. The study also denotes the rate of tendency on the rapid growth and development of research production among information specialists in Bangladesh. In order to carry out the study, an extensive literature review was carefully done to collect the basic elements of research patterns. It is noted that in the period of 1980-2016, 200 articles were published in library and information science by Bangladeshi researchers in 62 journals. In this article a total of 200 articles were reviewed. The result of the present study shows that the ratio of female authors had fewer contributions than male authors did. The majority of articles were published from the United Kingdom. The study also shows that the largest numbers of articles (19 papers, 9.50%) were published in the Social Science Journal of the University of Rajshahi from Bangladesh. The paper also shows that about 71.50% of papers have been cited while 28.50% of papers did not receive any citation. The present research might be helpful for revealing the country's research trends in library and information science. However, this study may also inspire development of a subject-based indigenous database and can act as an important device for research scholars.
The mobile social networking application Instagram is a well-known platform for sharing photos and videos. Since it is folksonomy-oriented, it provides the possibility for image indexing and knowledge representation through the assignment of hashtags to posted content. The purpose of this study is to analyze how Instagram users tag their pictures regarding different kinds of picture and hashtag categories. For such a content analysis, a distinction is made between Food, Pets, Selfies, Friends, Activity, Art, Fashion, Quotes (captioned photos), Landscape, and Architecture image categories as well as Content-relatedness (ofness, aboutness, and iconology), Emotiveness, Isness, Performativeness, Fakeness, "Insta"-Tags, and Sentences as hashtag categories. Altogether, 14,649 hashtags of 1,000 Instagram images were intellectually analyzed (100 pictures for each image category). Research questions are stated as follows: RQ1: Are there any differences in relative frequencies of hashtags in the picture categories? On average the number of hashtags per picture is 15. Lowest average values received the categories Selfie (average 10.9 tags per picture) and Friends (average 11.7 tags per picture); for highest, the categories Pet (average 18.6 tags), Fashion (average 17.6 tags), and Landscape (average 16.8 tags). RQ2: Given a picture category, what is the distribution of hashtag categories; and given a hashtag category, what is the distribution of picture categories? 60.20% of all hashtags were classified into the category Content-relatedness. Categories Emotiveness (about 4.38%) and Sentences (0.99%) were less often frequent. RQ3: Is there any association between image categories and hashtag categories? A statistically significant association between hashtag categories and image categories on Instagram exists, as a chi-square test of independence shows. This study enables a first broad overview on the tagging behavior of Instagram users and is not limited to a specific hashtag or picture motive, like previous studies.
One of the characteristics of academic writing is the inclusion of citations and references. As the development of reference styles used for international scholarly communication has mostly been led by Western academic societies, the reference styles developed in Western nations do not reflect the characteristics of Korean names. As a result, it is hard to distinguish Korean authors through citations based on Western reference styles, which in turn decreases the retrieval efficiency of relevant authors and ultimately the efficiency of scholarly communication. This paper intends to analyze author name disambiguation of Korean authors indicated according to Western reference styles. It aims to suggest the necessity for enhancing name disambiguation of Korean authors and revision of reference styles. Its ultimate goal is to increase the efficiency of scholarly communication through the improvement of name disambiguation of Korean authors. For this purpose, this study collected and analyzed name data of Korean researchers and compared name disambiguation of authors by reference style. Based on research results, this study confirmed a necessity for revising reference styles to improve name disambiguation of authors and suggested a necessity for research into the improvement of plans for revision.