STEM Fellowship Big Data Challenge
Browse
1/1
8 files

The Future of Science: A Study on Interests Across the World

dataset
posted on 2017-01-30, 00:26 authored by Alex Bogdan, Yingning Gui, Henry Lin, Brennan Lu

This study was conducted to identify correlations between Altmetric data and its set of scientific topics. The scholarly articles published online were organized by distribution source, totaling the popularity of each article and its topic. In this case, topic refers to any scientific field of study and the data sets used were retrieved from Altmetric and Twitter sources. The purpose of this study is to help gain insight into where the future of science lies in subject matter as well as professional and public practice. as well as distinguish between what research the public favours to focus on in relation to privatized interests.

Publishing dates, Scopus subjects, and Altmetric scores were extracted from the Altmetric data. This data was compared with Twitter posters, helping differentiate the professional and public demographics that were interested in this field. Through the results, it was identified that the data showed that different cohorts – types of demographics – have different interests. Therefore, the future of science cannot be limited to single fields, rather an amalgamation of those popular among scholarly and public interests.

History

Usage metrics

    STEM Fellowship

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC