As part of the US National Science Foundation (Award #2029673) RAPID project Corona Virus – Exploring Causes and Cures through Literature Based Discovery, the VantagePoint Dashboard Site has been supporting the use of bibliometric and text analytic methods applied to a PubMed search query to help researchers understand what researchers are working on COVID-19, who are they working with and where is the research being conducted. Noting some interesting trends as of late...tracking Month of Publication, the data had been leveling off from early exponential growth early in the pandemic, but has been trending strongly upward beginning in June 2021, hitting the highest monthly numbers in July of this year with nearly 9,000 unique publications.



For the categorization… The most noticeable change is with Vaccination. It has risen significantly beginning in May 2021 through July (the last month with a full month worth of data). Mental Health also appear to be mentioned more frequently beginning in late 2020.



In a competitive business environment, an early understanding of the dynamics of technological change is crucial to help policymakers and managers make better-informed decisions. An analysis of the interconnected dynamics of technology change warrants new approaches for identifying technology emergence, technological substitution, and the influences of vital socioeconomic forces. The recent paper, "Combining tech mining and semantic TRIZ for technology assessment: Dye-sensitized solar cell" , introduces a unique combination that applies a tech mining and semantic TRIZ as a case study to Dye-Sensitized Solar Cell (DSSC) technology. This methodological combination brings broader insights to the emergence of DSSC in conjunction with related technologies that affect its progress, enriching the associated technological progression’s empirical characterization.

The unprecedented, explosive growth of the COVID-19 domain presents challenges to researchers to keep up with research knowledge within the domain. In the paper "Tracking and Mining the COVID-19 Research Literature" this research is profiled to help make that knowledge more accessible via overviews and novel categorizations. Porter et. al. provide websites offering means for researchers to probe more deeply to address specific questions. The authors further probe and reassemble COVID-19 topical content to address research issues concerning topical evolution and emphases on tactical vs. strategic approaches to mitigate this pandemic and reduce future viral threats. Data suggest that heightened attention to strategic, immunological factors is warranted. Connecting with, and transferring in, research knowledge from outside the COVID-19 domain demands a viable COVID-19 knowledge model. This study provides complementary topical categorizations to facilitate such modeling to inform future Literature-Based Discovery (LBD) endeavors.