1,721,022 research outputs found
Data for High-Throughput Screening of Perovskites for Catalysis by Mechanochemistry and Machine Learning
This contains all the data that will be generated during this project
Replication Data for RT05/19: Improving Photocatalysts That Recycle Microplastics to Fuels by Artificial Intelligence
This contains most of the data that was generated during this project
Data for SNAS ASEAN Postdoctoral Fellowship Project
This contains all the data that will be generated during this project
Data for Achieving 3D Visualisation as a Threshold Concept for Symmetry and Spectroscopy with Augmented and Virtual Reality
This contains all the data that will be generated during this project
Replication Data for Visible Light Driven Cascade Carbon-Carbon Bond Scission for Organic Transformations and Plastics Recycling
Raw data for Gazi, S.; Dokić, M.; Chin, K. F.; Ng, P.; Soo, H. S. Visible Light Driven Cascade Carbon-Carbon Bond Scission for Organic Transformations and Plastics Recycling, Adv. Sci. 2019, 6, 1902020
Replication Data for Hydrophobic Metal Halide Perovskites for Visible-Light Photoredox C-C Bond Cleavage and Dehydrogenation Catalysis
Data for Hong, Z.; Chong, W. K.; Ng, A. Y. R.; Li, M.; Ganguly, R.; Sum, T. C.; Soo, H. S.* Hydrophobic Metal Halide Perovskites for Visible-Light Photoredox C-C Bond Cleavage and Dehydrogenation Catalysis, Angew. Chem. Int. Ed. 2019, 58, 3456 – 3460
Data for Developing a public-private partnership by crowdfunding to create sustainable plastics upcycling technologies
This contains all the data that was generated during this project
Replication Data for Completely Solvent-free Protocols to Access Phase- Pure, Metastable Metal Halide Perovskites and Functional Photodetectors from the Precursor Salts
Replication data for Completely Solvent-free Protocols to Access Phase- Pure, Metastable Metal Halide Perovskites and Functional Photodetectors from the Precursor Salt
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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