The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
Investigating the impact of university students’ smartphone addiction on their satisfaction with classroom connectedness
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“La evidencia indirecta de la que disponemos muestra efectos negativos de la adicción al smartphone sobre el compromiso académico (Kokoc y Göktas ˛, 2025) y la satisfacción con las clases (Soomro et al. , 2019).”
From Adicción al smartphone, nomofobia, rendimiento académico e intención de abandonar los estudios: un modelo estructural en estudiantes universitarios peruanos (2025) · cites this paper as Soomro et al., 2019
In the citing paper
“la adicción al móvil puede disminuir la participación estudiantil, el esfuerzo cognitivo y la construcción de un ambiente de aprendizaje cooperativo y de apoyo en el aula, lo que se traduce en menor interés por los estudios y en sentimientos de descontento que favorecen la intención de abandono (Kokoc y Göktas ˛, 2025; Soomro et al. , 2019; YupanquiLorenzo et al. , 2023).”
From Adicción al smartphone, nomofobia, rendimiento académico e intención de abandonar los estudios: un modelo estructural en estudiantes universitarios peruanos (2025) · cites this paper as Soomro et al., 2019
Citations
Cites
Discovering Statistics Using SPSS
Field, A. P., & Miles, J. N. V. (2000) · Medical Entomology and Zoology · Cited by 28,265
Social Desirability Bias and the Validity of Indirect Questioning
Fisher, R. J. (1993) · Journal of Consumer Research · doi:10.1086/209351 · Cited by 2,789
The Smartphone addiction scale: development and validation of a short version for adolescents
Kwon, M., Kim, D.-J., Cho, H., & Yang, S. (2013) · PLoS ONE · doi:10.1371/journal.pone.0083558 · Cited by 2,177
Development and Validation of a Smartphone Addiction Scale (SAS)
Kwon, M., Lee, J.-Y., Won, W.-Y., Park, J.-W., Min, J.-A., Hahn, C., Gu, X., Choi, J.-H., & Kim, D.-J. (2013) · PLoS ONE · doi:10.1371/journal.pone.0056936 · Cited by 1,670
Demirci, K., Akgönül, M., & Akpinar, A. (2015) · Journal of Behavioral Addictions · doi:10.1556/2006.4.2015.010 · Cited by 1,529
Psychological Predictors of Problem Mobile Phone Use
Bianchi, A., & Phillips, J. G. (2005) · CyberPsychology & Behavior · doi:10.1089/cpb.2005.8.39 · Cited by 1,514
Elhai, J. D., Levine, J. C., Dvorak, R. D., & Hall, B. J. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.05.079 · Cited by 1,020
Smartphone use and smartphone addiction among young people in Switzerland
Haug, S., Castro, R. P., Kwon, M., Filler, A., Kowatsch, T., & Schaub, M. P. (2015) · Journal of Behavioral Addictions · doi:10.1556/2006.4.2015.037 · Cited by 903
Hong, F.-Y., Chiu, S.-I., & Huang, D.-H. (2012) · Computers in Human Behavior · doi:10.1016/j.chb.2012.06.020 · Cited by 568
Online computer gaming: a comparison of adolescent and adult gamers
Griffiths, M. D., Davies, M. N. O., & Chappell, D. (2004) · Journal of Adolescence · doi:10.1016/j.adolescence.2003.10.007 · Cited by 504
Research works printed but not linked: 3
- Casey, B. M. (2012). Linking psychological attributes to smart phone addiction, face-to-face communication, present absence and social capital. The Chinese University of Hong Kong. Doctoral dissertation.
- James, D., & Drenn, J. (2005). Exploring addictive consumption of mobile phone. Journal of Adolescence, 27(1), 87–96.
- Poushter, J. (2016). Smartphone ownership and internet usage continues to climb in emerging economies. Pew Research Center, 22, 1–44.
Cited by
Busch, P. A., & McCarthy, S. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2020.106414 · Cited by 657
Almasri, F. (2022) · Education and Information Technologies · doi:10.1007/s10639-022-10940-w · Cited by 136
Karaköse, T., Tülübaş, T., & Papadakis, S. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph192214883 · Cited by 105
Nie, J., Wang, P., & Lei, L. (2020) · Computers in Human Behavior · doi:10.1016/j.chb.2020.106351 · Cited by 71
Zhao, H., Rafik-Galea, S., Fitriana, M., & Song, T. (2022) · PLoS ONE · doi:10.1371/journal.pone.0278092 · Cited by 61
Metadata
- Authors
- Soomro, K. A., Zai, S. A. Y., Nasrullah, & Hina, Q. A.
- Affiliations
- Institute of Business Management (PK)
- National University of Modern Languages (PK)
- Corresponding author
- Soomro, Kamal Ahmed
- Venue
- Education and Information Technologies
- Published
- 2019-06-20
- Volume
- 24
- Issue
- 6
- Pages
- 3523-3535
- ISSN
- 1360-2357 (ISSN-L)
- 1573-7608
- OpenAlex
- W2950123739
- Cited by
- 29
- References
- 34
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 2 · 2023: 4 · 2022: 13 · 2021: 3 · 2020: 4
- FWCI
- 10.07
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- www.springer.com/tdm (vor)
- Locations
- Education and Information Technologies (publishedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Physical Sciences › Computer Science › Information Systems › Mobile Learning in Education
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Keywords
- smartphone addiction, university students, student satisfaction, undergraduate vs graduate students, gender differences, academic disciplines, learning environment, Pakistani students
About these checks
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Investigating the impact of university students’ smartphone addiction on their satisfaction with classroom connectedness. https://app.cochat.ai/papers/10.1007/s10639-019-09947-7
- The paper
- Soomro, K. A., Zai, S. A. Y., Nasrullah, & Hina, Q. A. (2019). Investigating the impact of university students’ smartphone addiction on their satisfaction with classroom connectedness. Education and Information Technologies. https://doi.org/10.1007/s10639-019-09947-7
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.