A comparison of the Web of Science and publication-level classification systems of science
作者:
Highlights:
• A classification system A is preferable to B when the normalization procedure based on the former performs better than the one based on the latter.
• Performance is assessed in terms of a graphical and a numerical test that use both classification systems for evaluation purposes.
• A publication-level algorithmically constructed system of 5,119 clusters is found to dominate a second one of 1,363 clusters.
• Although the system at the highest granularity level and the Web of Science journal-level system are non-comparable, we recommend the former.
摘要
•A classification system A is preferable to B when the normalization procedure based on the former performs better than the one based on the latter.•Performance is assessed in terms of a graphical and a numerical test that use both classification systems for evaluation purposes.•A publication-level algorithmically constructed system of 5,119 clusters is found to dominate a second one of 1,363 clusters.•Although the system at the highest granularity level and the Web of Science journal-level system are non-comparable, we recommend the former.
论文关键词:Classification systems of science,Journal-level versus publication-level systems,Field-normalization
论文评审过程:Received 5 September 2016, Accepted 24 October 2016, Available online 18 November 2016, Version of Record 18 November 2016.
论文官网地址:https://doi.org/10.1016/j.joi.2016.10.007