Research Area Schemas

Research area schemas, alongside baselines, are important to place bibliometric data into context. A citation count of a paper in isolation is a relatively meaningless number. But by looking at it in the context of peer publications, one can understand the performance, see if it is above or below average and by how much. Through benchmarking, data becomes actionable knowledge.

It is necessary to understand performance within the context of research areas because publication rates and citation behavior can vary considerably from discipline to discipline, document type and over time. For example, mathematics papers are usually cited at a relatively low rate but the citation rate can persist over a long period of time. Whereas molecular biology papers are typically cited more frequently and the citations tail off after a few years as the research is superseded. By understanding the underlying trends and comparing the publications of interest to publications in the same research area, year and document type will have more meaningful results.

There are 12 different research area schemas available in InCites. Three are exclusive to Thomson Reuters and are described below.

A further eight are based on mapping Thomson Reuters data to external subject classification systems. These schemas are designed to enable the use of bibliometric indicators in the context of a regional research evaluation program, for example the Research Excellence Framework in the United Kingdom. Alternatively, the Organization for Economic Cooperation and Development (OECD) subject classification schema is a valuable tool for looking at national level bibliometric indicators in the context of demographical and financial data provided by the OECD. Typically, schemas based on external subject classifications are developed in partnership with research evaluation bodies in that region. They may be based on journal classifications or the mapping of Web of Science categories. Please see the Appendix (Regional Subject Schemas) for details of these schemas.

Which schema to use will depend on the objectives of the analysis. Typically if looking at small sets of publications, such as the output of a single department or individual author, it is advisable to use the higher precision of a narrow subject classification such as the Web of Science schema. This approach may be useful to overcome differences between things such as applied and theoretical research of the same topic.

However, if you wish to understand the overall subject mix of an organization or a country, using a broader schema may be more appropriate.

Web of Science

The narrowest categorization. The Web of Science schema is comprised of 252 subject categories in science, social sciences, arts and humanities. The schema is created by assigning each journal to one or more subject categories. Broad disciplines such as physics are represented as smaller subfields, for example “Physics, Applied” and “Physics, Nuclear.” This narrow definition of subject is an important characteristic of the schema as citation behavior may significantly vary among subfields. The Web of Science subject schema is generally considered the best for detailed bibliometric analysis as its granularity enables the user to objectively measure performance against papers that are similar in scope and citation characteristics.

However, because it is often not possible to assign a journal to a single category, there can be overlapping coverage of categories which may complicate an analysis. Each published item will inherit all subject categories assigned to the parent journal.

Coverage of books and conferences follow the same definitions of subject area.

List of categories, scope notes, and journal coverage is available at:

Science Citation Index Expanded

http://ip-science.thomsonreuters.com/mjl/scope/scope_scie/

Social Science Citation Index

http://ip-science.thomsonreuters.com/mjl/scope/scope_ssci/

Arts & Humanities Citation Index

http://ip-science.thomsonreuters.com/mjl/scope/scope_ahci/

Essential Science Indicators

Journal Coverage

Article counts for Essential Science IndicatorsTM are derived from 11,855 journals indexed in Web of Science Core Collection (Science Citation Index Expanded and Social Sciences Citation Index only) over a 10-year period. Citation counts for these articles are derived from journals indexed in Web of Science Core Collection (Science Citation Index Expanded, Social Sciences Citation Index and Arts & Humanities Citation Index)

Each journal is assigned to one of 22 research fields. In ESI, a journal can be assigned to only one field.  Journals such as Science and Nature are categorized as multidisciplinary since they publish research in many different fields. As a result, papers published in these multidisciplinary journals are assigned to a field based on the representation of the cited journals. For example, if the majority of cited references in the paper are to neuroscience journals, the paper is then categorized as neuroscience. 

Journal List

The master journal list (application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, 802.9 kB, info), which comprises all active journal titles eligible for inclusion in Essential Science IndicatorsTM,  has been updated as of January 12, 2017, to cover a 10-year plus 10-month period, January 1, 2006 – October 31, 2016. Data is updated bi-monthly (six times a year). This is the fifth bi-monthly period of 2016.

This master journal list will be updated regularly. The current extraction date is December 1, 2016. 

GIPP Research Areas

A very broad categorization. The GIPP schema comprises six broad disciplines but covers all fields of scholarly research. The GIPP schema is based on an aggregation of the Web of Science subject categories and contains significant overlap between disciplines.

The mapping of WoS subject area to GIPP category must be reviewed periodically because WoS subject areas may change from one year to the next. The WoS subject area GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY is new to WoS for 2016, and it has been mapped as follows:

WoS Subject Area

GIPP Classification

GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY

Engineering & Technology

GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY

OVERALL

Mapping of the Web of Science schema to the GIPP schema is available in the Appendix (GIPP subject mapping table) .