July 2-5, 2023 | Bloomington, IN
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Content Analysis 2
11:20am - 11:40am
The patterns of publication languages used by STEM research in China
1University of Tennessee at Knoxville, School of Information Sciences, Tennessee, TN (United States); 2New York University, Department of Computer Science, New York, NY (United States); 3University of Wisconsin-Madison, Information School, Madison, WI (United States);
English has become the international language of science, especially in China. Researchers in China have been increasingly publishing in the English language, as evidenced by the exponential growth of publications by China in major bibliographic databases in recent decades. Nevertheless, there has been limited research on the exact pattern of languages used by Chinese researchers. In this study, we present preliminary findings from our project analyzing all research outputs funded by the National Science Foundation of China (NSFC), the leading government research funder in the realms of natural sciences and engineering in China. We strive to understand what languages Chinese STEM researchers use, how language use varies by research domains and projects, and how the trends evolve. Our preliminary results show that English was the most popular language in STEM research in the 2010s and its popularity increased during this decade. Moreover, the use of the English language is also positively correlated with the seniority of project PI as embedded in project classes. Our results provide the basis for more granular analyses and more constructive conversations about the use of languages in scientific research in China and how research policies should respond to language usage practices.
11:40am - 12:00pm
Investigating Drug Translational Research Using PubMed Articles
1Huazhong University of Science and technology, China, People's Republic of; 2Central China Normal University;
Drug research and development are embracing translational research for its potential to increase the number of drugs successfully brought to clinical applications. Using the publicly available PubMed database, we sought to describe the status of drug translational research, the distribution of translational lags for all drugs as well as the collaborations between basic science and clinical science in drug research. For each drug, an indicator called Translational Lag was proposed to quantify the interval time from its first PubMed article to its first clinical article. Meanwhile, the triangle of biomedicine was also used to visualize the status and multidisciplinary collaboration of drug translational research. The results showed that only 18.1% (24,410) of drugs/compounds had been successfully entering clinical research. It averagely took 14.38 years (interquartile range, 4 to 21 years) for a drug from the initial basic discovery to its first clinical research. In addition, the results also revealed that, in drug research, there was rare cooperation between basic science and clinical science, which were more inclined to cooperate within disciplines.
12:00pm - 12:20pm
Design shift in aeronautical and aviation patents, 1880-1918
U.S. Bureau of Labor Statistics, United States of America;
We have collected data on over 15,000 patents related to aeronautics and aviation filed around the world in the period from 1880 to 1914. In this work we measure the shift in topics and designs in such patents away from balloons, helicopters, and ornithopters – designs which worked at some level – toward fixed-wing airplane designs which had been shown to give better control in the air. We classify the technologies in patents based on several kinds of information: key words in their title or text, their diagrams, later CPC classifications, and the national classifications of the time. We show here that the population of patents had been shifting slowly toward fixed-wing designs and away from balloon designs since about 1895. The transition in patents is clearly detectable and well underway by 1906 when the Wrights’ famous airplane patent is granted and continues to move along through 1908 when the first substantial wave of airplane-producing companies were founded around the world.
12:20pm - 12:40pm
Synthetic Biology Discourse on Twitter
NORC at the University of Chicago, United States of America;
Synthetic biology is a multifaceted field that spans disciplines, sectors, and industries, but, despite this fact, much bibliometric knowledge about synthetic biology comes from a focus on scholarly literature. This paper investigates discourse about synthetic biology on Twitter because it is a popular platform for synthetic biology stakeholders and because it captures a diverse range of topics surrounding synthetic biology. Using hierarchical stochastic blockmodels and community detection, we investigate the range of synthetic biology topics discussed on Twitter and the general structure of the discourse. Major findings include that discussion of synthetic biology on Twitter largely focuses on non-scholarly topics, that there is a wide range of topics discussed, and that the hashtags used to organize synthetic biology Twitter discourse form a sparse network of many disconnected clusters. We conclude with a discussion of the implications of these findings for the bibliometric literature on synthetic biology and note future work to be undertaken as a result of this inquiry.
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