19 items found

Tags: Bibliometrics Science education

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  • dataset

    Spearman correlations between Ph.D. award year and various popularity statist...

    Spearman correlations between Ph.D. award year and various popularity statistics (n = 263).
  • dataset

    r37980778c78--d28fb58e68fc59080c460cc549529348

    Multiple ordinal regression assessing how parameters hypothesised to reflect consensus predict a rank order of scientific domains (main test: I-physical, II-biological-hard,...
  • dataset

    r37980778c78--49904b8330a91953268bf44d30bd0f11

    Test results of LR and SVM model for entire topological feature set vs. baseline topological feature set.
  • dataset

    r37980778c78--11eeaa6cf780a52a3e80658dc0072bb7

    Spearman correlations between affiliated university rank and various popularity statistics (n = 197).
  • dataset

    r37980778c78--813e6dd6154fa89375c1985ac4995ae1

    Main source of retrieving information [9], Data expressed as Mean±SEM.
  • dataset

    Pearson correlation coefficient between GDP per capita, spending on R&D as% o...

    r = Pearson correlation coefficient. p = p-value.
  • dataset

    r37980778c78--ea6787c80306058a17496e67d5357bc7

    By using the feature selection methods, Adamic/Adar, Preferential attachment, Katzβ, and PropFlow were selected as the most effective ones for boththe LR model, while...
  • dataset

    The summarization of the author sets with different productivity.

    All of the documents containing the word “coronary” in their titles, abstracts or keywords were collected from Web of Science. The scope was limited to the years 2008 through...
  • dataset

    Asian countries with their GDP per capita, spending on R&D as% of total GDP, ...

    Main sources of retrieving information [6]–[8], Data expressed as Mean±SEM.
  • dataset

    Kendall’s rank correlation coefficient between GDP per capita, spending on R&...

    τ (tau) = Kendall’s rank correlation coefficient. p =  p value.
  • dataset

    The ten institutions hosting the most TED presenters.

    The ten institutions hosting the most TED presenters.
  • dataset

    r37980778c78--10754e9f90b34a57937aae2da666632f

    The percentage of publicly available scholarly documents found in Google Scholar.
  • dataset

    r37980778c78--04f849ded14b541c7f3f25f577e90472

    Median citations received by academics in the years immediately before and after their first TED talk.
  • dataset

    r37980778c78--5eb416e91a238bb4e12ec11adc73a22c

    A barrier to dissemination of research is that it depends on the end-user searching for or ‘pulling’ relevant knowledge from the literature base. Social media instead ‘pushes’...
  • dataset

    Spearman correlations between total WoS documents or relative impact scores (...

    **Significant at p = 0.01, Bonferroni corrected for n = 12 from 0.01 to 0.00083. Other figures are not significant at p = 0.05. – N = 197 for YouTube and n = 206 for the TED site.
  • dataset

    r37980778c78--48e059aabe3947ee9a3c4c982598a3d9

    Online visibility for academic presenters.
  • dataset

    Summary of predictions.

    Predicted correlation of each bibliometric parameter with a field's level of scholarly consensus brief explanation of hypothesised causal mechanism, and studies from which the...
  • dataset

    r37980778c78--70cb3c76278081ec1393cce2d50ad341

    Mann-Whitney U-test for being an academic (736 not academic, 202 academic).
  • dataset

    r37980778c78--4e477766109d2d053292909956d609e9

    The estimated number of documents on the web for each field.