Open Access

Measuring Societal Impact Is as Complex as ABC

   | Aug 30, 2019

Cite

Bornmann, L. (2013). What is societal impact of research and how can it be assessed? A literature survey. Journal of the American Society for Information Science and Technology, 64(2), 217–233. https://doi.org/10.1002/asi.22803BornmannL.2013What is societal impact of research and how can it be assessed? A literature surveyJournal of the American Society for Information Science and Technology642217233https://doi.org/10.1002/asi.2280310.1002/asi.22803Search in Google Scholar

Cagan, R. (2013). The San Francisco Declaration on Research Assessment. Disease Models & Mechanisms, 6(4), 869–870. https://doi.org/10.1242/dmm.012955CaganR.2013The San Francisco Declaration on Research AssessmentDisease Models & Mechanisms64869870https://doi.org/10.1242/dmm.01295510.1242/dmm.012955370120423690539Search in Google Scholar

Costas, R., Zahedi, Z., & Wouters, P. (2015). Do “altmetrics” correlate with citations? Extensive comparison of altmetric indicators with citations from a multidisciplinary perspective. Journal of the Association for Information Science and Technology, 66(10), 2003–2019. https://doi.org/10.1002/asi.23309CostasR.ZahediZ.&WoutersP.2015Do “altmetrics” correlate with citations? Extensive comparison of altmetric indicators with citations from a multidisciplinary perspectiveJournal of the Association for Information Science and Technology661020032019https://doi.org/10.1002/asi.2330910.1002/asi.23309Search in Google Scholar

Falagas, M. E., & Alexiou, V. G. (2008). The top-ten in journal impact factor manipulation. Archivum Immunologiae et Therapiae Experimentalis, 56(4), 223. https://doi.org/10.1007/s00005-008-0024-5FalagasM. E.&AlexiouV. G.2008The top-ten in journal impact factor manipulationArchivum Immunologiae et Therapiae Experimentalis564223https://doi.org/10.1007/s00005-008-0024-510.1007/s00005-008-0024-518661263Search in Google Scholar

Haustein, S., Bowman, T. D., Holmberg, K., Tsou, A., Sugimoto, C. R., & Larivière, V. (2016). Tweets as impact indicators: Examining the implications of automated “bot” accounts on Twitter. Journal of the Association for Information Science and Technology, 67(1), 232–238. https://doi.org/10.1002/asi.23456HausteinS.BowmanT. D.HolmbergK.TsouA.SugimotoC. R.&LarivièreV.2016Tweets as impact indicators: Examining the implications of automated “bot” accounts on TwitterJournal of the Association for Information Science and Technology671232238https://doi.org/10.1002/asi.2345610.1002/asi.23456Search in Google Scholar

Moed, H. F. (2002). The impact-factors debate: the ISI’s uses and limits. Nature, 415(6873), 731. https://doi.org/10.1038/415731aMoedH. F.2002The impact-factors debate: the ISI’s uses and limitsNature4156873731https://doi.org/10.1038/415731a10.1038/415731a11845176Search in Google Scholar

Noyons, E. (2018). Monitoring how science finds its way into society: Measuring societal impact through area-based connectedness (ABC). Retrieved from CWTS website: https://www.cwts.nl:443/blog?article=n-r2u264&title=monitoring-how-science-finds-its-way-into-society-measuring-societal-impact-through-area-based-connectedness-abcNoyonsE.2018Monitoring how science finds its way into society: Measuring societal impact through area-based connectedness (ABC)Retrieved from CWTS websitehttps://www.cwts.nl:443/blog?article=n-r2u264&title=monitoring-how-science-finds-its-way-into-society-measuring-societal-impact-through-area-based-connectedness-abcSearch in Google Scholar

Seppo, M., & Lilles, A. (2012). Indicators Measuring University-Industry Cooperation (SSRN Scholarly Paper No. ID 2194394). Retrieved from Social Science Research Network website: https://papers.ssrn.com/abstract=2194394SeppoM.&LillesA.2012Indicators Measuring University-Industry Cooperation (SSRN Scholarly Paper No. ID 2194394)Retrieved from Social Science Research Network websitehttps://papers.ssrn.com/abstract=2194394Search in Google Scholar

Traag, V. A. (2015). Faster unfolding of communities: Speeding up the Louvain algorithm. Physical Review E, 92(3), 032801. https://doi.org/10.1103/PhysRevE.92.032801TraagV. A.2015Faster unfolding of communities: Speeding up the Louvain algorithmPhysical Review E923032801https://doi.org/10.1103/PhysRevE.92.03280110.1103/PhysRevE.92.03280126465522Search in Google Scholar

Traag, V. A., Waltman, L., & van Eck, N. J. (2019). From Louvain to Leiden: Guaranteeing well-connected communities. Scientific Reports, 9. https://doi.org/10.1038/s41598-019-41695-zTraagV. A.WaltmanL.&van EckN. J.2019From Louvain to Leiden: Guaranteeing well-connected communitiesScientific Reports9https://doi.org/10.1038/s41598-019-41695-z10.1038/s41598-019-41695-z643575630914743Search in Google Scholar

Waltman, L., & van Eck, N. J. (2012). A new methodology for constructing a publication-level classification system of science. Journal of the American Society for Information Science and Technology, 63(12), 2378–2392. https://doi.org/10.1002/asi.22748WaltmanL.&van EckN. J.2012A new methodology for constructing a publication-level classification system of scienceJournal of the American Society for Information Science and Technology631223782392https://doi.org/10.1002/asi.2274810.1002/asi.22748Search in Google Scholar

Wouters, P., Sugimoto, C. R., Larivière, V., McVeigh, M. E., Pulverer, B., Rijcke, S. de, & Waltman, L. (2019). Rethinking impact factors: Better ways to judge a journal. Nature, 569(7758), 621. https://doi.org/10.1038/d41586-019-01643-3WoutersP.SugimotoC. R.LarivièreV.McVeighM. E.PulvererB.RijckeS. de&WaltmanL.2019Rethinking impact factors: Better ways to judge a journalNature5697758621https://doi.org/10.1038/d41586-019-01643-310.1038/d41586-019-01643-331138924Search in Google Scholar

eISSN:
2543-683X
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Computer Sciences, Information Technology, Project Management, Databases and Data Mining