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IDENTIFYING HOT BRAZILIAN SCIENCE AND TECHNOLOGY: TECH MINING METHODS FOR RELATING SOURCES OF KNOWLEDGE AND EMERGING RESEARCH AREAS EU-SPRI CONFERENCE, 12-13 June 2012 Hannes Toivanen VTT Technical Research Centre of Finland Email. Hannes.Toivanen@vtt.fi
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2 Knowledge dynamics and domestic capabilities What role do domestic capabilities play for countries trying to move towards knowledge economy? National systems of innovation framework Are countries focussing on strategic areas of science and technology in research? Can we distinguish between or measure the geographic location of knowledge creation? The objective is to clarify methods to identify with enhanced accuracy emerging trends within fields and countries (1) To identify “hot” research fields within Brazilian research; (2) Assess to what degree different “hot fields” rely on Brazilian knowledge bases vs. foreign ones. Changing the date: View – Slide Master – change the date on the slide master uppermost
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3 Data XML data from Thomsom Reuters: Institute for Scientific Information (ISI) papers with at least one Brazilian research address from years 2005-2009, forming SOURCE data set; Total number of papers: 152,031. For this paper, only articles and proceedings were incluced, totalling 127,826. In addition: CITING: All papes making citations to SOURCE papers (283,131 records); Unique identifier linking CITED, SOURCE and CITING papers; Note: not ISI indexed citation references not included in data; Data delivery in May 2010 – Cut-off date for accumulating citations Linking CITING papers, we included whole data that was classified as ”hot”. To classify research fields, we use ISI Subject categories that are grouped in OECD Minor Fields Reliability issues with the ISI Subject Categories (Leydesdorff & Rafols 2008; Boyack et al 2005); Data processed with Vantage Point software
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4 Measuring “domestic” and “foreign”contributions Typically papers are counted as a ”whole”, despite of how many people or institutions are listed as authors (Total records) ->what is the amount of noise in authorships? We distuingish between Brazilian and Foreign institutional authorship (Research country) Fractional domestic count (FDC) vs Fractional other count Relative shares of instances of research addresses = institutional share of authorship Institutional authorship: Each author gives at least one research address; Each completely identical research address is indexed as one (e.g. different department or street of same organization is indexed as 2 separate addresses Issues in estimating institutional authorship: Multiple authors from one address are counted as only one; One author with multiple addresses is counted multiple times; Is a proxy – reliability and accuracy subject to validation Changing the date: View – Slide Master – change the date on the slide master uppermost
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5 Defining “hot papers” and “hot fields” ”Hot papers” have quickly impact on research – number of citations Can be self-citation or ”genuine” citation Citation as a ”relationship” between papers Citations received within narrow time-window Times cited / Share of citations (to select ”hot papers”) The share of citations received +/- 1 year from publication date from total citations accumulated by total national output E.g. For Brazilian papers for 2005, we identify all papers that have received citations by papers (only ISI indexed) published in 2004, 2005, and 2006. The most 10% cited papers from all articles with at least one author coming from Brazil ”Hot fields” (to classify ”hot papers”) Because we include journal articles and conference prodeecings, we use the ISI Subject Categories, which total over 249 different fields (2012) (alternative would be journal fields) These are consolidated into 39 different OECD Minor Fields Changing the date: View – Slide Master – change the date on the slide master uppermost
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6 Defining Brazilian ”Hot papers” 2005, 2007, 2009 The 10% from all annual articles and conference proceedings receiving most citations +/-1 year from publication date Account about 40% all citations received in this period Less than 5% of all papers
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7 Top-20 Brazilian OECD Minor fields 05-07-09 (total records) Rank by 2005 totals
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8 Top-20 Brazilian ”Hot Paper” fields 05-09 – Total Records Rank by 2005 total record rankings for ”hot paper” total records from here onwards (number of total records 2009) ”Hot fields” are more concentrated than overall research
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9 Average share of ”hot papers” 05-07-09. Total records and fractional count shares. Total records over-estimates ”hotness” ”Hotness” revealed by fractional domestic count
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10 Average share of ”total record” and ”BR FDC” ”hot papers” 05-07-09 from all citations received by ”hot papers” Total records over-estimates ”hotness” ”Hotness” revealed by fractional domestic count
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11 Results and conclusions Fractional domestic count reveals a lot of ”noise” total in record count of national ”hotness” With FDC volume and rank of ”hotness” of papers and fields changes substantially Comparison of total records vs Fractional domestic count ”hotness” Physical sciences, astronomy declines from 1st to 5th (papers) Chemical sciences advances from 5th to 1st (papers) and from 5th to 2nd (citations) Emerging Brazilian ”hot fields” become visible (papers and citations): Materials engineering, Environmental engineering, Other agricultural science Mathematics, Other engineering and technologies Total record count is fine when ”hotness” is measured in global science Regional strategic (systems of innovation) ”hotness” requires assessment of ”localness” in total volume and citations
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