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Export Reference (APA) 
Santos, A. & Mendonça, S. (2022). Do papers (really) match journals’ “aims and scope”? A computational assessment of innovation studies. Scientometrics. 127 (12), 7449-7470
Export Reference (IEEE) 
A. T. Santos and S. M. Mendonça,  "Do papers (really) match journals’ “aims and scope”? A computational assessment of innovation studies", in Scientometrics, vol. 127, no. 12, pp. 7449-7470, 2022
Export BibTeX 
@article{santos2022_1716092881007,
	author = "Santos, A. and Mendonça, S.",
	title = "Do papers (really) match journals’ “aims and scope”? A computational assessment of innovation studies",
	journal = "Scientometrics",
	year = "2022",
	volume = "127",
	number = "12",
	doi = "10.1007/s11192-022-04327-4",
	pages = "7449-7470",
	url = "https://www.springer.com/journal/11192"
}
Export RIS 
TY  - JOUR
TI  - Do papers (really) match journals’ “aims and scope”? A computational assessment of innovation studies
T2  - Scientometrics
VL  - 127
IS  - 12
AU  - Santos, A.
AU  - Mendonça, S.
PY  - 2022
SP  - 7449-7470
SN  - 0138-9130
DO  - 10.1007/s11192-022-04327-4
UR  - https://www.springer.com/journal/11192
AB  - Researchers, science managers and evaluation professionals face a problem when determining the alignment between research results and publication targets. How does a manuscript’s content fit a given journal’s stated purpose? We develop a framework for understanding how past published papers reveal the actual interests and editorial profile of journal. We articulate an answer to the question by using a total of 16,803 abstracts from articles published from 2010 to 2019 in 20 top innovation-oriented journals. Through a machine learning approach, we trained a text classification algorithm on these materials. The supervised model matched the published contents (abstracts) with journal blurbs with an accuracy rate of 80%. We discover that the content of 25% of the outlet sample might have been of greater interest elsewhere (i.e. to other journals), according to the official editorial positioning available in their homepages. Our conclusions suggest that more can be learned from exploring the abstract-blurb nexus.
ER  -