Organisation for Economic Co-operation and Development

This dataset presents a set of bibliometric indicators calculated using Elsevier's Scopus Custom Data, Version 5.2019; and Scimago Journal Rankings are used to calculate the top 10% most cited scientific publications.Elsevier assigns each journal in Scopus to one or more subjects using its All Science and Journal Classification (ASJC). There are 27 main fields comprising 334 subjects in the classification.This dataset is a small sample of the bibliometric indicators calculated using the Scopus Database. Different indicators will be presented in the Scoreboard platform (forthcoming).The following indicators are presented:FPUBS_NBFRAC: Total number of scientific publications, fractional counts. Publications are attributed to countries on the basis of the authors' institutional affiliations. Publications were fractionalised by contributing units; so that reported figures add up to the total number of publications (each document has the same weight). Fractional counts can be aggregated.TOP10FPUBS_NBFRAC: Total number of 10% top-cited scientific publications, fractional counts. The top 10% most cited documents is an indicator of excellence. This rate indicates the amount (in percentages) of a unit's scientific output that is included into the group of the 10% of the most cited papers in their respective scientific fields. It is a measure of high quality of research output of a unit, in this case the country. The indicator of scientific excellence is calculated at the document level using fractional counts. Documents organized by document type, ASJC field and year - are sorted in descending order based on the number of citations received. A threshold of 10% most cited documents is calculated for each category. Only documents with a fixed number of citations above the threshold are included. Documents with the same number of citations as the threshold are sorted according to the Scimago Journal Rankings (SJR) value of the journal in which they were published; those with the highest scores are selected. The citation window is based on the whole period, so top 10% most cited documents for the reference year uses whole period citations. No citation window is imposed as citation-based indicators are calculated on the basis of comparisons with documents published in the same year. The world average is 10% for the period.TOP10_X: The top 10% most cited documents is an indicator of excellence. This rate indicates the amount (in percentages) of a unit's scientific output that is included into the group of the 10% of the most cited papers in their respective scientific fields. The world average is 10% for the period.INTL_X: Percentage of scientific publications involving international collaboration. International collaboration refers to publications co-authored among institutions in different countries. Estimates are computed for each country by counting documents for which the set of listed affiliations includes at least one address within the country and one outside. Single-authored documents with multiple affiliations in different countries count as international collaboration.ISCORR_X: Percentage of corresponding/leading author scientific publications. Percentage corresponding or leading author documents, i.e. the share of scientific output where a domestic author is listed as a corresponding author. The scientific leadership indicator helps interpret the role of a given country in collaboration activities. The scientific leadership indicator shows the share of scientific output (in this case, documents by authors from a given country) where an author from this country is listed as leading author.NORMCIT_X: Normalised citation score, ratio of actual versus expected publications, percentage. Because of the differences in citation patterns of the fields and document types, field-based normalisation is required. The measure of normalised citation impact shows the relationship of the unit's average citation to the world's average, the unit is the country. The indicator is derived as the ratio between the average number of citations received by the documents published by authors affiliated to an institution in a given country and the world average of citations, over the same time period, by document type and subject area. Its value indicates how many times above (or below) the document has been cited above (or below) world average. For example, a value of 80 means the country is cited 20% below world average in that field and 130 means the country is cited 30% above average for that domain. The normalisation of citation values is item-oriented, i.e. carried out at the level of the individual document. If an article has been published in a journal allocated to more than one subject area, a mean value of the areas is calculated. The world average is 100.SPEC_I: The Relative Specialisation Index measures relative specialisation. This index is calculated by dividing all papers in a field from country a by the total production in all fields for country a, this proportion is then divided by the same proportion calculated at the world level. The world average is 1. A threshold has been set and the index has only been calculated for countries with 50 or more documents.

This biannual publication provides a set of indicators that reflect the level and structure of the efforts undertaken by OECD member countries and seven non-member economies (Argentina, People's Republic of China, Romania, Russian Federation, Singapore, South Africa, Chinese Taipei) in the field of science and technology. These data include final or provisional results as well as forecasts established by government authorities. The indicators cover the resources devoted to research and development, patent families, technology balance of payments and international trade in R&D-intensive industries. Also presented are the underlying economic series used to calculate these indicators. Indicators on R&D expenditures, budgets and personnel are derived from the OECD's Research and Development Statistics (RDS) database, which is based on the data reported to OECD and Eurostat in the framework of a co-ordinated collection. The sources for the other indicators include the OECD databases on Activities of Multinational Enterprises (AMNE), on Bilateral Trade in Goods by Industry and End-use Category database (BTDIxE), on Patents and on Technological Balance of Payments (TBP). The R&D data used in this publication have been collected and presented in line with the standard OECD methodology for R&D statistics as laid out in the OECD "Frascati Manual". The 2002 edition of the manual has now been superseded by the 2015 edition. The revised guidelines and definitions are in the course of being implemented and are not expected to change the main indicators significantly although some terminology changes will occur. This edition of MSTI has been compiled in accordance with the 2002 Frascati Manual; these changes will be made in a coming edition as R&D surveys move to the new standard.   2018 values are estimated value.