
The associated files are excerpts from the SWINNO-database of Swedish innovations. The database is constructed using the LBIO (Literature Based Innovation Output) method by the VINNOVA and LUSEM financed SWINNO project, led by Josef Taalbi at Lund University School of Economics and Management. More information about the SWINNO project and the database can be found at:https://www.lusem.lu.se/economic-history/databases/swinnohttps://www.swedishinnovationdata.se Details regarding the structure and variables are publicly available on:https://swinnoproject.github.io/living_codebook/
The dataset is published in two formats: A database file (sqlite3) containing10 tables A zip file containing 10 UTF-8 encoded .csv files, one for each table See readme.txt for more details on the different tables and fields included in the data.
Version 3.3.0 adds preliminary mappings to organisation numbers and a bio-economy classification to innovations. If you find any issues with the data please report them to Mathias.Johansson@kultur.lu.se
The .csv files are n UTF-8 encoding.
Economic History, Innovation
Economic History, Innovation
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
