The Open Gallery for Arts Research (OGAR): An open-source tool for studying the psychology of virtual art museum visits Article Swipe
Rebekah Rodriguez-Boerwinkle
,
Martin Boerwinkle
,
Paul J. Silvia
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3758/s13428-022-01857-w
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3758/s13428-022-01857-w
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3758/s13428-022-01857-w
- OA Status
- green
- Cited By
- 14
- References
- 51
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4224314154
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4224314154Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3758/s13428-022-01857-wDigital Object Identifier
- Title
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The Open Gallery for Arts Research (OGAR): An open-source tool for studying the psychology of virtual art museum visitsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-04-25Full publication date if available
- Authors
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Rebekah Rodriguez-Boerwinkle, Martin Boerwinkle, Paul J. SilviaList of authors in order
- Landing page
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https://doi.org/10.3758/s13428-022-01857-wPublisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
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https://www.ncbi.nlm.nih.gov/pmc/articles/9037585Direct OA link when available
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Usability, Visitor pattern, Computer science, The arts, Sample (material), Human–computer interaction, Psychology, World Wide Web, Multimedia, Visual arts, Art, Chemistry, Programming language, ChromatographyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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14Total citation count in OpenAlex
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2025: 4, 2024: 5, 2023: 2, 2022: 3Per-year citation counts (last 5 years)
- References (count)
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51Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W3042532889, https://openalex.org/W2119858582, https://openalex.org/W4233509324, https://openalex.org/W4251883894, https://openalex.org/W2078384500, https://openalex.org/W1993436622, https://openalex.org/W2589688792, https://openalex.org/W2433181910, https://openalex.org/W3158333870, https://openalex.org/W4235011715, https://openalex.org/W3014636464, https://openalex.org/W3019363618, https://openalex.org/W1170788904, https://openalex.org/W1984396403, https://openalex.org/W2321926242, https://openalex.org/W1820011893, https://openalex.org/W2174960880, https://openalex.org/W2143840327, https://openalex.org/W2072238630, https://openalex.org/W1969812557, https://openalex.org/W2795274753, https://openalex.org/W1945788957, https://openalex.org/W6996281411, https://openalex.org/W3084004974, https://openalex.org/W1991966247, https://openalex.org/W2743449695, https://openalex.org/W2902166906, https://openalex.org/W2175031088, https://openalex.org/W2126458866, https://openalex.org/W2007133253, https://openalex.org/W2745163710, https://openalex.org/W1508474167, https://openalex.org/W1555606659, https://openalex.org/W2582743722, https://openalex.org/W3118295118, https://openalex.org/W3211163910, https://openalex.org/W2805931081, https://openalex.org/W4392951459, https://openalex.org/W7030292758, https://openalex.org/W2326986365, https://openalex.org/W6761669688, https://openalex.org/W2324699737, https://openalex.org/W2744625327, https://openalex.org/W3043313956, https://openalex.org/W2117763044, https://openalex.org/W2477727245, https://openalex.org/W3048173549, https://openalex.org/W1520127302, https://openalex.org/W591743112, https://openalex.org/W2064148418, https://openalex.org/W4300648631 |
| referenced_works_count | 51 |
| abstract_inverted_index | |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 94 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| citation_normalized_percentile.value | 0.84015279 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |