Towards a model for understanding failures in health data protection: a mixed-methods study Article Swipe
Javad Khazaei Pool
,
Saeed Akhlaghpour
,
Farkhondeh Hassandoust
,
Farhad Fatehi
,
Andrew Burton‐Jones
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1080/0144929x.2025.2551568
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1080/0144929x.2025.2551568
Related Topics
Concepts
Metadata
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- article
- Language
- en
- Landing Page
- https://doi.org/10.1080/0144929x.2025.2551568
- OA Status
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- Cited By
- 1
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- OpenAlex ID
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All OpenAlex metadata
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https://openalex.org/W4413990122Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1080/0144929x.2025.2551568Digital Object Identifier
- Title
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Towards a model for understanding failures in health data protection: a mixed-methods studyWork title
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articleOpenAlex work type
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enPrimary language
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2025Year of publication
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2025-09-04Full publication date if available
- Authors
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Javad Khazaei Pool, Saeed Akhlaghpour, Farkhondeh Hassandoust, Farhad Fatehi, Andrew Burton‐JonesList of authors in order
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https://doi.org/10.1080/0144929x.2025.2551568Publisher landing page
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://doi.org/10.1080/0144929x.2025.2551568Direct OA link when available
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Multimethodology, Mixed model, Computer science, Data Protection Act 1998, Data science, Psychology, Computer security, Mathematics education, Machine learningTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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152Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| referenced_works_count | 152 |
| abstract_inverted_index | |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 91 |
| corresponding_author_ids | https://openalex.org/A5005873720 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 5 |
| corresponding_institution_ids | https://openalex.org/I165143802 |
| citation_normalized_percentile.value | 0.96241159 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |