Nanotechnology publications by funding agencies

** Example used for the construction of the dataset. Once the whole datset is downloaded (in this case, the whole best 10th percentile in Nanotechnology from 2012 to 2024), one may extract a list of subsets. For instance, if one downloaded only those publications which have at least one author affiliated in Mainland China, such download might be called "CN". Such file in .csv format will have WOS - univocal identifiers. For instance: "WOS:000336235800014" as a string variable. This implies to separate WOS from rest of text. At this point one may simply merge datasets using the whole dataset comprising in our case 49061 observations (publications) - see below. It is worth noting that each subset may overlap others in such a way that a publication may have both US affiliated scholars and China Mainland one. Same applies to single funding agency, or any other added variable which is represented by single extractions. ** merge 1:1 wos using "C:[...]\myfolder\CN.dta" gen CN = 1 if _merge ==3 ** Example of csv extraction report // Filter Summary: // Dataset: InCites Dataset // Schema: Web of Science // Time Period: [2012, 2024] // Include Early Access documents: true // Document Type: [Article] // Funding Data Source: All Sources // Domestic/International Collaboration: All // Research Area: [NANOSCIENCE & NANOTECHNOLOGY] // Location: [CHINA MAINLAND] // Top % Documents: 10 // Exported date Jul 9, 2024. //InCites dataset updated 2024-06-28. Includes Web of Science content indexed through 2024-05-31. ** All subsets extracted around same day