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Kevin W. Boyack Sandia National Laboratories Sackler Colloquium on Mapping Knowledge Domains May 11, 2003 An indicator-based characterization of PNAS Sandia is a multiprogram laboratory operated by Sandia Corporation, a Lockheed Martin Company, for the United States Department of Energy under Contract DE-AC04-94AL85000.
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Kevin W. Boyack Sandia National Laboratories Sackler Colloquium on Mapping Knowledge Domains May 11, 2003 An indicator-based characterization of PNAS Sandia.

Jan 11, 2016

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  • An indicator-based characterization of PNASKevin W. Boyack

    Sandia National Laboratories

    Sackler Colloquium onMapping Knowledge DomainsMay 11, 2003Sandia is a multiprogram laboratory operated by Sandia Corporation, a Lockheed Martin Company, for the United States Department of Energy under Contract DE-AC04-94AL85000.

  • OutlineData sourcesImpact vs. fundingMap of highest impact workTopics and Import-ExportBibliographic coupling and external references

  • IndicatorsLots of work by NSF, OECDMany ways of countingOften slanted to economicNot often directly correlating inputs and outputsRarely taking any firm standSome studies relating funding and impactMost recent from Britain or Australia (biomed)Few large scale import-export studies

  • Data SourcesUsed ISI/SCIE data as base setUsed only articles, letters, notes, reviews (ALNR)Did not include commentaries, editorials, correctionsMedline for MeSH termsNIA grants (dollar amounts, durations, etc.)PNAS full text (not used)PNAS tables of contents (topics)

  • Data Merges

  • Percentiles vs. CountsThis study uses percentiles exclusively rather than citation countsPercentiles enables cross-year comparisonsOnly 30-40% of papers have more citations than the meanCalculation of percentilesPapers ranked for each year by citation countRankings converted into percentiles

  • Counts/Percentiles for 1983 Papers

  • Funding and ImpactEffect of funding typeEffect of funding amount

  • MeSH Support TypesSupport, U.S. Gov't, P.H.S.NIHSupport, U.S. Gov't, Non-P.H.S.All other US agencies (NSF, DOE, DOD, etc.)Support, Non-U.S. Gov'tUS non-government (academia, industry )Foreign

  • Funding Categories

  • Impact by Funding Category

  • Impact Stability

  • Matching Papers to GrantsPNAS author = Grant PI (last name + first initial) ANDPNAS author institution = Grant PI institution ANDPNAS publication year >= Grant initial year ANDPNAS publication year
  • NIA 4.1% fraction of PNAS

  • Impact by Grant Amount

  • Cumulative Histograms by Range

  • Impact by Publishing Institution

  • Impact by Institution and Funding

  • Map of Highest Impact PapersUsed top quartile of cited docs per yearNumber of citations as of 12/31/2002Citation based mapDirect and bibliographic couplingHenry Smalls combined linkage formulaDirect weight of 5 (rather than Smalls 2)Outer references includedDivided into 70 clustersShift in content over time

  • Top Quartile are Highly Cited

  • Ordination

  • Clustering

  • Highest Impact Map Time Progression

  • Core (BioMed) Time Progression

  • Another View

  • AIDS Research Time Progression

  • Cluster Timeline

  • Diagnostic Terms/Topics by Cluster

  • Diagnostic Terms/Topics by Cluster

  • PNAS TopicsBIOLOGICAL SCIENCESAgricultural SciencesApplied Biological SciencesBiochemistryBiophysicsCell BiologyDevelopmental BiologyEcologyEvolutionGeneticsImmunologyMedical SciencesMicrobiologyNeurobiologyPharmacologyPhysiologyPlant BiologyPopulation BiologyPsychologyPHYSICAL SCIENCESApplied MathematicsApplied Physical SciencesAstronomyChemistryComputer SciencesEngineeringGeologyGeophysicsMathematicsPhysicsStatisticsSOCIAL SCIENCESAnthropologyEconomic SciencesPsychologySocial Sciences

  • Impact by PNAS Topic

  • Topic Import-Export Matrix

  • Topic Map

  • More FunLooking for a better way to show evolution of science over time periodsShould show splitting, joining of clusters, rather than the more continuous evolution that our current techniques showMap short time periods (e.g. 2 years) with overlaps and use overlaps to join maps

  • Big Change in Clusters with One Year1996-19971997-1998

  • Another Example (3 Year Change)1997-19982000-2001

  • Bib Coupling Distribution Changes - Why?

  • Bib Coupling Distribution Changes - Why?

  • Distribution of ReferencesTop references3194Laemmli UK (1970), Nature 227, 680.2876Maniatis T (1982), Mol Cloning Laboratory.2659Sanger F (1977), P Natl Acad Sci USA 74, 5463.2364Sambrook J (1989), Mol Cloning Laboratory.1149Chirgwin JM (1979), Biochemistry-US 18, 5294.1121Lowry OH (1951), J Biol Chem 193, 265.1051Bradford MM (1976), Anal Biochem 72, 248.1050Maxam AM (1980), Method Enzymol 65, 499.968Southern EM (1975), J Mol Biol 98, 503.951Towbin H (1979), P Natl Acad Sci USA 76, 4350.900Chomczynski P (1987), Anal Biochem 162, 156.787Feinberg AP (1983), Anal Biochem 132, 6.588Rigby PWJ (1977), J Mol Biol 113, 237.579Thomas PS (1980), P Nat Acad Sci US-B 77, 5201.575Miller JH (1972), Expt Mol Genetics.

  • Distribution of ReferencesTop references3194Laemmli UK (1970), Nature 227, 680.2876Maniatis T (1982), Mol Cloning Laboratory.2659Sanger F (1977), P Natl Acad Sci USA 74, 5463.2364Sambrook J (1989), Mol Cloning Laboratory.1149Chirgwin JM (1979), Biochemistry-US 18, 5294.1121Lowry OH (1951), J Biol Chem 193, 265.1051Bradford MM (1976), Anal Biochem 72, 248.1050Maxam AM (1980), Method Enzymol 65, 499.968Southern EM (1975), J Mol Biol 98, 503.951Towbin H (1979), P Natl Acad Sci USA 76, 4350.900Chomczynski P (1987), Anal Biochem 162, 156.787Feinberg AP (1983), Anal Biochem 132, 6.588Rigby PWJ (1977), J Mol Biol 113, 237.579Thomas PS (1980), P Nat Acad Sci US-B 77, 5201.575Miller JH (1972), Expt Mol Genetics.

  • Distribution of References

  • Few References Account for TailAll references31 references removed

  • Questions and Things to DoHow to best show the real evolution of science?Does this indicate a lack of a new biomedical revolution to drive the next generation research?Compare coupling distributions of PNAS to other journals