The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
Evaluating the influence of YouTube advertising for attraction of young customers
Overview
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Citations
Cites
Kotler, P. T., & Armstrong, G. (1972) · University of Maribor digital library (University of Maribor) · Cited by 5,591
MacKenzie, S. B., & Lutz, R. J. (1989) · Journal of Marketing · doi:10.2307/1251413 · Cited by 4,880
Likert scales, levels of measurement, and the “laws” of statistics
Norman, G. (2010) · Advances in Health Sciences Education · doi:10.1007/s10459-010-9222-y · Cited by 4,850
Introducing COBRAs: Exploring motivations for brand-related social media use
Muntinga, D. G., Moorman, M., & Smit, E. G. (2011) · International Journal of Advertising · doi:10.2501/ija-30-1-013-046 · Cited by 1,468
Proceedings of the Human Factors and Ergonomics Society 2019 Annual Meeting
(2019) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/1071181319631171 · Cited by 1,432
Brand Equity, Brand Preference, and Purchase Intent
Cobb-Walgren, C. J., Ruble, C. A., & Donthu, N. (1995) · Journal of Advertising · doi:10.1080/00913367.1995.10673481 · Cited by 1,344
Facebook and Online Privacy: Attitudes, Behaviors, and Unintended Consequences
Debatin, B., Lovejoy, J. P., Horn, A.-K., & Hughes, B. N. (2009) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.2009.01494.x · Cited by 1,271
MacKenzie, S. B., Lutz, R. J., & Belch, G. E. (1986) · Journal of Marketing Research · doi:10.1177/002224378602300205 · Cited by 1,178
Edwards, S. M., Li, H., & Lee, J.-H. (2002) · Journal of Advertising · doi:10.1080/00913367.2002.10673678 · Cited by 1,053
Deriving Value from Social Commerce Networks
Stephen, A. T., & Toubia, O. (2010) · Journal of Marketing Research · doi:10.1509/jmkr.47.2.215 · Cited by 865
Cited by
Lou, C., & Yuan, S. (2019) · Journal of Interactive Advertising · doi:10.1080/15252019.2018.1533501 · Cited by 2,795
Yuan, S., & Lou, C. (2020) · Journal of Interactive Advertising · doi:10.1080/15252019.2020.1769514 · Cited by 543
Lou, C., & Kim, H. K. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.02567 · Cited by 391
Kimiagari, S., & Asadi Malafe, N. S. (2021) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2021.102567 · Cited by 285
Metadata
- Authors
- Dehghani, M., Niaki, M. K., Ramezani, I., & Sali, R.
- Venue
- Computers in Human Behavior
- Publisher
- Elsevier BV
- Published
- 2016-06
- Volume
- 59
- Pages
- 165-172
- ISSN
- 0747-5632 (ISSN-L)
- OpenAlex
- W2253548483
- Cited by
- 364
- References
- 42
- FWCI
- 66.69
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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How to cite
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- This page
- CoChat. (2026). Citation check: Evaluating the influence of YouTube advertising for attraction of young customers. https://app.cochat.ai/papers/10.1016/j.chb.2016.01.037
- The paper
- Dehghani, M., Niaki, M. K., Ramezani, I., & Sali, R. (2016). Evaluating the influence of YouTube advertising for attraction of young customers. Computers in Human Behavior. https://doi.org/10.1016/j.chb.2016.01.037
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
