Optimizing anatomy dissection teams using the Yukari method: A peer compatibility‐based approach Article Swipe
Tetsuji Murakami
,
Toru Araki
,
Yuki Tajika
,
Hitoshi Ueno
,
Sotaro Ichinose
,
Hirohide Iwasaki
,
Hiroshi Yorifuji
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1002/ase.70124
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1002/ase.70124
Human anatomy dissection serves as a cornerstone of medical education, fostering not only anatomical knowledge but also teamwork and professionalism. Given the considerable intellectual, physical, and emotional demands of dissection, effective team dynamics are essential for student success. To enhance learning experiences and academic outcomes, we developed the “Yukari method”—an automated system for optimizing anatomy dissection team assignments. This method uses a heuristic local search algorithm to maximize peer compatibility based on student peer preferences and motivation levels collected via a secure web survey. Compared to random and self‐selected teams, those assigned using the Yukari method showed approximately a 10% improvement in academic performance. Student satisfaction with Yukari‐assigned teams was significantly higher than with random assignment and comparable to self‐selection. This increased satisfaction, in turn, correlated with better academic outcomes. These findings suggest that the Yukari method is effective in medical education and potentially useful in other team‐based disciplines, such as engineering and social sciences.
Related Topics
Concepts
No concepts available.
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1002/ase.70124
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/ase.70124
- OA Status
- hybrid
- References
- 58
- OpenAlex ID
- https://openalex.org/W4414780154
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4414780154Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1002/ase.70124Digital Object Identifier
- Title
-
Optimizing anatomy dissection teams using the Yukari method: A peer compatibility‐based approachWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-10-03Full publication date if available
- Authors
-
Tetsuji Murakami, Toru Araki, Yuki Tajika, Hitoshi Ueno, Sotaro Ichinose, Hirohide Iwasaki, Hiroshi YorifujiList of authors in order
- Landing page
-
https://doi.org/10.1002/ase.70124Publisher landing page
- PDF URL
-
https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/ase.70124Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
-
https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/ase.70124Direct OA link when available
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
58Number of works referenced by this work
Full payload
| id | https://openalex.org/W4414780154 |
|---|---|
| doi | https://doi.org/10.1002/ase.70124 |
| ids.doi | https://doi.org/10.1002/ase.70124 |
| ids.pmid | https://pubmed.ncbi.nlm.nih.gov/41041916 |
| ids.openalex | https://openalex.org/W4414780154 |
| fwci | 0.0 |
| mesh[0].qualifier_ui | |
| mesh[0].descriptor_ui | D006801 |
| mesh[0].is_major_topic | False |
| mesh[0].qualifier_name | |
| mesh[0].descriptor_name | Humans |
| mesh[1].qualifier_ui | Q000193 |
| mesh[1].descriptor_ui | D004210 |
| mesh[1].is_major_topic | True |
| mesh[1].qualifier_name | education |
| mesh[1].descriptor_name | Dissection |
| mesh[2].qualifier_ui | Q000193 |
| mesh[2].descriptor_ui | D000715 |
| mesh[2].is_major_topic | True |
| mesh[2].qualifier_name | education |
| mesh[2].descriptor_name | Anatomy |
| mesh[3].qualifier_ui | |
| mesh[3].descriptor_ui | D010379 |
| mesh[3].is_major_topic | True |
| mesh[3].qualifier_name | |
| mesh[3].descriptor_name | Peer Group |
| mesh[4].qualifier_ui | Q000523 |
| mesh[4].descriptor_ui | D013337 |
| mesh[4].is_major_topic | True |
| mesh[4].qualifier_name | psychology |
| mesh[4].descriptor_name | Students, Medical |
| mesh[5].qualifier_ui | Q000379 |
| mesh[5].descriptor_ui | D004504 |
| mesh[5].is_major_topic | True |
| mesh[5].qualifier_name | methods |
| mesh[5].descriptor_name | Education, Medical, Undergraduate |
| mesh[6].qualifier_ui | |
| mesh[6].descriptor_ui | D008297 |
| mesh[6].is_major_topic | False |
| mesh[6].qualifier_name | |
| mesh[6].descriptor_name | Male |
| mesh[7].qualifier_ui | |
| mesh[7].descriptor_ui | D004521 |
| mesh[7].is_major_topic | False |
| mesh[7].qualifier_name | |
| mesh[7].descriptor_name | Educational Measurement |
| mesh[8].qualifier_ui | |
| mesh[8].descriptor_ui | D005260 |
| mesh[8].is_major_topic | False |
| mesh[8].qualifier_name | |
| mesh[8].descriptor_name | Female |
| mesh[9].qualifier_ui | |
| mesh[9].descriptor_ui | D011795 |
| mesh[9].is_major_topic | False |
| mesh[9].qualifier_name | |
| mesh[9].descriptor_name | Surveys and Questionnaires |
| mesh[10].qualifier_ui | |
| mesh[10].descriptor_ui | D009042 |
| mesh[10].is_major_topic | False |
| mesh[10].qualifier_name | |
| mesh[10].descriptor_name | Motivation |
| mesh[11].qualifier_ui | |
| mesh[11].descriptor_ui | D006801 |
| mesh[11].is_major_topic | False |
| mesh[11].qualifier_name | |
| mesh[11].descriptor_name | Humans |
| mesh[12].qualifier_ui | Q000193 |
| mesh[12].descriptor_ui | D004210 |
| mesh[12].is_major_topic | True |
| mesh[12].qualifier_name | education |
| mesh[12].descriptor_name | Dissection |
| mesh[13].qualifier_ui | Q000193 |
| mesh[13].descriptor_ui | D000715 |
| mesh[13].is_major_topic | True |
| mesh[13].qualifier_name | education |
| mesh[13].descriptor_name | Anatomy |
| mesh[14].qualifier_ui | |
| mesh[14].descriptor_ui | D010379 |
| mesh[14].is_major_topic | True |
| mesh[14].qualifier_name | |
| mesh[14].descriptor_name | Peer Group |
| mesh[15].qualifier_ui | Q000523 |
| mesh[15].descriptor_ui | D013337 |
| mesh[15].is_major_topic | True |
| mesh[15].qualifier_name | psychology |
| mesh[15].descriptor_name | Students, Medical |
| mesh[16].qualifier_ui | Q000379 |
| mesh[16].descriptor_ui | D004504 |
| mesh[16].is_major_topic | True |
| mesh[16].qualifier_name | methods |
| mesh[16].descriptor_name | Education, Medical, Undergraduate |
| mesh[17].qualifier_ui | |
| mesh[17].descriptor_ui | D008297 |
| mesh[17].is_major_topic | False |
| mesh[17].qualifier_name | |
| mesh[17].descriptor_name | Male |
| mesh[18].qualifier_ui | |
| mesh[18].descriptor_ui | D004521 |
| mesh[18].is_major_topic | False |
| mesh[18].qualifier_name | |
| mesh[18].descriptor_name | Educational Measurement |
| mesh[19].qualifier_ui | |
| mesh[19].descriptor_ui | D005260 |
| mesh[19].is_major_topic | False |
| mesh[19].qualifier_name | |
| mesh[19].descriptor_name | Female |
| mesh[20].qualifier_ui | |
| mesh[20].descriptor_ui | D011795 |
| mesh[20].is_major_topic | False |
| mesh[20].qualifier_name | |
| mesh[20].descriptor_name | Surveys and Questionnaires |
| mesh[21].qualifier_ui | |
| mesh[21].descriptor_ui | D009042 |
| mesh[21].is_major_topic | False |
| mesh[21].qualifier_name | |
| mesh[21].descriptor_name | Motivation |
| type | article |
| title | Optimizing anatomy dissection teams using the Yukari method: A peer compatibility‐based approach |
| biblio.issue | 11 |
| biblio.volume | 18 |
| biblio.last_page | 1277 |
| biblio.first_page | 1262 |
| topics[0].id | https://openalex.org/T11984 |
| topics[0].field.id | https://openalex.org/fields/22 |
| topics[0].field.display_name | Engineering |
| topics[0].score | 0.9998000264167786 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2204 |
| topics[0].subfield.display_name | Biomedical Engineering |
| topics[0].display_name | Anatomy and Medical Technology |
| topics[1].id | https://openalex.org/T10916 |
| topics[1].field.id | https://openalex.org/fields/27 |
| topics[1].field.display_name | Medicine |
| topics[1].score | 0.9919000267982483 |
| topics[1].domain.id | https://openalex.org/domains/4 |
| topics[1].domain.display_name | Health Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2746 |
| topics[1].subfield.display_name | Surgery |
| topics[1].display_name | Surgical Simulation and Training |
| topics[2].id | https://openalex.org/T10254 |
| topics[2].field.id | https://openalex.org/fields/27 |
| topics[2].field.display_name | Medicine |
| topics[2].score | 0.9918000102043152 |
| topics[2].domain.id | https://openalex.org/domains/4 |
| topics[2].domain.display_name | Health Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2739 |
| topics[2].subfield.display_name | Public Health, Environmental and Occupational Health |
| topics[2].display_name | Innovations in Medical Education |
| is_xpac | False |
| apc_list.value | 3710 |
| apc_list.currency | USD |
| apc_list.value_usd | 3710 |
| apc_paid.value | 3710 |
| apc_paid.currency | USD |
| apc_paid.value_usd | 3710 |
| language | en |
| locations[0].id | doi:10.1002/ase.70124 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S121323410 |
| locations[0].source.issn | 1935-9772, 1935-9780 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | 1935-9772 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | Anatomical Sciences Education |
| locations[0].source.host_organization | https://openalex.org/P4310320595 |
| locations[0].source.host_organization_name | Wiley |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310320595 |
| locations[0].source.host_organization_lineage_names | Wiley |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/ase.70124 |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Anatomical Sciences Education |
| locations[0].landing_page_url | https://doi.org/10.1002/ase.70124 |
| locations[1].id | pmid:41041916 |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306525036 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | PubMed |
| locations[1].source.host_organization | https://openalex.org/I1299303238 |
| locations[1].source.host_organization_name | National Institutes of Health |
| locations[1].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | publishedVersion |
| locations[1].raw_type | |
| locations[1].license_id | |
| locations[1].is_accepted | True |
| locations[1].is_published | True |
| locations[1].raw_source_name | Anatomical sciences education |
| locations[1].landing_page_url | https://pubmed.ncbi.nlm.nih.gov/41041916 |
| locations[2].id | pmh:oai:europepmc.org:11402028 |
| locations[2].is_oa | True |
| locations[2].source.id | https://openalex.org/S4306400806 |
| locations[2].source.issn | |
| locations[2].source.type | repository |
| locations[2].source.is_oa | False |
| locations[2].source.issn_l | |
| locations[2].source.is_core | False |
| locations[2].source.is_in_doaj | False |
| locations[2].source.display_name | Europe PMC (PubMed Central) |
| locations[2].source.host_organization | https://openalex.org/I1303153112 |
| locations[2].source.host_organization_name | European Bioinformatics Institute |
| locations[2].source.host_organization_lineage | https://openalex.org/I1303153112 |
| locations[2].license | other-oa |
| locations[2].pdf_url | |
| locations[2].version | submittedVersion |
| locations[2].raw_type | Text |
| locations[2].license_id | https://openalex.org/licenses/other-oa |
| locations[2].is_accepted | False |
| locations[2].is_published | False |
| locations[2].raw_source_name | |
| locations[2].landing_page_url | https://www.ncbi.nlm.nih.gov/pmc/articles/12592916 |
| indexed_in | crossref, pubmed |
| authorships[0].author.id | https://openalex.org/A5032496516 |
| authorships[0].author.orcid | https://orcid.org/0000-0001-9727-9797 |
| authorships[0].author.display_name | Tetsuji Murakami |
| authorships[0].countries | JP |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I165735259 |
| authorships[0].affiliations[0].raw_affiliation_string | Department of Anatomy, Gunma University Graduate School of Medicine, Maebashi, Japan |
| authorships[0].institutions[0].id | https://openalex.org/I165735259 |
| authorships[0].institutions[0].ror | https://ror.org/046fm7598 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I165735259 |
| authorships[0].institutions[0].country_code | JP |
| authorships[0].institutions[0].display_name | Gunma University |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Tohru Murakami |
| authorships[0].is_corresponding | True |
| authorships[0].raw_affiliation_strings | Department of Anatomy, Gunma University Graduate School of Medicine, Maebashi, Japan |
| authorships[1].author.id | https://openalex.org/A5052855347 |
| authorships[1].author.orcid | https://orcid.org/0000-0003-2399-8769 |
| authorships[1].author.display_name | Toru Araki |
| authorships[1].countries | JP |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I165735259 |
| authorships[1].affiliations[0].raw_affiliation_string | Faculty of Informatics, Gunma University, Maebashi, Japan |
| authorships[1].institutions[0].id | https://openalex.org/I165735259 |
| authorships[1].institutions[0].ror | https://ror.org/046fm7598 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I165735259 |
| authorships[1].institutions[0].country_code | JP |
| authorships[1].institutions[0].display_name | Gunma University |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Toru Araki |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Faculty of Informatics, Gunma University, Maebashi, Japan |
| authorships[2].author.id | https://openalex.org/A5071029283 |
| authorships[2].author.orcid | https://orcid.org/0000-0003-2257-4104 |
| authorships[2].author.display_name | Yuki Tajika |
| authorships[2].countries | JP |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I165735259 |
| authorships[2].affiliations[0].raw_affiliation_string | Department of Anatomy, Gunma University Graduate School of Medicine, Maebashi, Japan |
| authorships[2].affiliations[1].institution_ids | https://openalex.org/I71869616 |
| authorships[2].affiliations[1].raw_affiliation_string | School of Radiological Technology, Gunma Prefectural College of Health Sciences, Maebashi, Japan |
| authorships[2].institutions[0].id | https://openalex.org/I71869616 |
| authorships[2].institutions[0].ror | https://ror.org/048xnxc75 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I71869616 |
| authorships[2].institutions[0].country_code | JP |
| authorships[2].institutions[0].display_name | Gunma Prefectural College of Health Sciences |
| authorships[2].institutions[1].id | https://openalex.org/I165735259 |
| authorships[2].institutions[1].ror | https://ror.org/046fm7598 |
| authorships[2].institutions[1].type | education |
| authorships[2].institutions[1].lineage | https://openalex.org/I165735259 |
| authorships[2].institutions[1].country_code | JP |
| authorships[2].institutions[1].display_name | Gunma University |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Yuki Tajika |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Department of Anatomy, Gunma University Graduate School of Medicine, Maebashi, Japan, School of Radiological Technology, Gunma Prefectural College of Health Sciences, Maebashi, Japan |
| authorships[3].author.id | https://openalex.org/A5022907053 |
| authorships[3].author.orcid | |
| authorships[3].author.display_name | Hitoshi Ueno |
| authorships[3].countries | JP |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I190930483 |
| authorships[3].affiliations[0].raw_affiliation_string | Department of Gross Anatomy, Kyorin University Faculty of Medicine, Mitaka, Japan |
| authorships[3].affiliations[1].institution_ids | https://openalex.org/I165735259 |
| authorships[3].affiliations[1].raw_affiliation_string | Department of Anatomy, Gunma University Graduate School of Medicine, Maebashi, Japan |
| authorships[3].institutions[0].id | https://openalex.org/I165735259 |
| authorships[3].institutions[0].ror | https://ror.org/046fm7598 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I165735259 |
| authorships[3].institutions[0].country_code | JP |
| authorships[3].institutions[0].display_name | Gunma University |
| authorships[3].institutions[1].id | https://openalex.org/I190930483 |
| authorships[3].institutions[1].ror | https://ror.org/0188yz413 |
| authorships[3].institutions[1].type | education |
| authorships[3].institutions[1].lineage | https://openalex.org/I190930483 |
| authorships[3].institutions[1].country_code | JP |
| authorships[3].institutions[1].display_name | Kyorin University |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Hitoshi Ueno |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Department of Anatomy, Gunma University Graduate School of Medicine, Maebashi, Japan, Department of Gross Anatomy, Kyorin University Faculty of Medicine, Mitaka, Japan |
| authorships[4].author.id | https://openalex.org/A5058426102 |
| authorships[4].author.orcid | https://orcid.org/0000-0002-1470-2957 |
| authorships[4].author.display_name | Sotaro Ichinose |
| authorships[4].countries | JP |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I165735259 |
| authorships[4].affiliations[0].raw_affiliation_string | Department of Anatomy, Gunma University Graduate School of Medicine, Maebashi, Japan |
| authorships[4].institutions[0].id | https://openalex.org/I165735259 |
| authorships[4].institutions[0].ror | https://ror.org/046fm7598 |
| authorships[4].institutions[0].type | education |
| authorships[4].institutions[0].lineage | https://openalex.org/I165735259 |
| authorships[4].institutions[0].country_code | JP |
| authorships[4].institutions[0].display_name | Gunma University |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Sotaro Ichinose |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | Department of Anatomy, Gunma University Graduate School of Medicine, Maebashi, Japan |
| authorships[5].author.id | https://openalex.org/A5082670101 |
| authorships[5].author.orcid | https://orcid.org/0000-0002-7432-5938 |
| authorships[5].author.display_name | Hirohide Iwasaki |
| authorships[5].countries | JP |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I165735259 |
| authorships[5].affiliations[0].raw_affiliation_string | Department of Anatomy, Gunma University Graduate School of Medicine, Maebashi, Japan |
| authorships[5].institutions[0].id | https://openalex.org/I165735259 |
| authorships[5].institutions[0].ror | https://ror.org/046fm7598 |
| authorships[5].institutions[0].type | education |
| authorships[5].institutions[0].lineage | https://openalex.org/I165735259 |
| authorships[5].institutions[0].country_code | JP |
| authorships[5].institutions[0].display_name | Gunma University |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Hirohide Iwasaki |
| authorships[5].is_corresponding | False |
| authorships[5].raw_affiliation_strings | Department of Anatomy, Gunma University Graduate School of Medicine, Maebashi, Japan |
| authorships[6].author.id | https://openalex.org/A5064257218 |
| authorships[6].author.orcid | |
| authorships[6].author.display_name | Hiroshi Yorifuji |
| authorships[6].countries | JP |
| authorships[6].affiliations[0].institution_ids | https://openalex.org/I165735259 |
| authorships[6].affiliations[0].raw_affiliation_string | Department of Anatomy, Gunma University Graduate School of Medicine, Maebashi, Japan |
| authorships[6].institutions[0].id | https://openalex.org/I165735259 |
| authorships[6].institutions[0].ror | https://ror.org/046fm7598 |
| authorships[6].institutions[0].type | education |
| authorships[6].institutions[0].lineage | https://openalex.org/I165735259 |
| authorships[6].institutions[0].country_code | JP |
| authorships[6].institutions[0].display_name | Gunma University |
| authorships[6].author_position | last |
| authorships[6].raw_author_name | Hiroshi Yorifuji |
| authorships[6].is_corresponding | False |
| authorships[6].raw_affiliation_strings | Department of Anatomy, Gunma University Graduate School of Medicine, Maebashi, Japan |
| has_content.pdf | True |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/ase.70124 |
| open_access.oa_status | hybrid |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Optimizing anatomy dissection teams using the Yukari method: A peer compatibility‐based approach |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-08T23:21:52.890332 |
| primary_topic.id | https://openalex.org/T11984 |
| primary_topic.field.id | https://openalex.org/fields/22 |
| primary_topic.field.display_name | Engineering |
| primary_topic.score | 0.9998000264167786 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2204 |
| primary_topic.subfield.display_name | Biomedical Engineering |
| primary_topic.display_name | Anatomy and Medical Technology |
| cited_by_count | 0 |
| locations_count | 3 |
| best_oa_location.id | doi:10.1002/ase.70124 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S121323410 |
| best_oa_location.source.issn | 1935-9772, 1935-9780 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | False |
| best_oa_location.source.issn_l | 1935-9772 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | Anatomical Sciences Education |
| best_oa_location.source.host_organization | https://openalex.org/P4310320595 |
| best_oa_location.source.host_organization_name | Wiley |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310320595 |
| best_oa_location.source.host_organization_lineage_names | Wiley |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/ase.70124 |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Anatomical Sciences Education |
| best_oa_location.landing_page_url | https://doi.org/10.1002/ase.70124 |
| primary_location.id | doi:10.1002/ase.70124 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S121323410 |
| primary_location.source.issn | 1935-9772, 1935-9780 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | 1935-9772 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | Anatomical Sciences Education |
| primary_location.source.host_organization | https://openalex.org/P4310320595 |
| primary_location.source.host_organization_name | Wiley |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310320595 |
| primary_location.source.host_organization_lineage_names | Wiley |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/ase.70124 |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Anatomical Sciences Education |
| primary_location.landing_page_url | https://doi.org/10.1002/ase.70124 |
| publication_date | 2025-10-03 |
| publication_year | 2025 |
| referenced_works | https://openalex.org/W1970314973, https://openalex.org/W2306408052, https://openalex.org/W4281786866, https://openalex.org/W4229021646, https://openalex.org/W3041434605, https://openalex.org/W4225390995, https://openalex.org/W2144693822, https://openalex.org/W2051640936, https://openalex.org/W2907484721, https://openalex.org/W4400498344, https://openalex.org/W3156731125, https://openalex.org/W2276417766, https://openalex.org/W1979764337, https://openalex.org/W2120767537, https://openalex.org/W2101438179, https://openalex.org/W2031475362, https://openalex.org/W2024116984, https://openalex.org/W2030944076, https://openalex.org/W1609248990, https://openalex.org/W2318802957, https://openalex.org/W2081874232, https://openalex.org/W2328114838, https://openalex.org/W2061972584, https://openalex.org/W2135346397, https://openalex.org/W1986821837, https://openalex.org/W2010101461, https://openalex.org/W2885691275, https://openalex.org/W2766305292, https://openalex.org/W1989242956, https://openalex.org/W4404315398, https://openalex.org/W2076354890, https://openalex.org/W2580224245, https://openalex.org/W3126144760, https://openalex.org/W2804075732, https://openalex.org/W2743459324, https://openalex.org/W2120343983, https://openalex.org/W2002548909, https://openalex.org/W2001537191, https://openalex.org/W3181818773, https://openalex.org/W4400323673, https://openalex.org/W2171193207, https://openalex.org/W4389636482, https://openalex.org/W2003386586, https://openalex.org/W2287973157, https://openalex.org/W119769658, https://openalex.org/W2042159227, https://openalex.org/W2011901765, https://openalex.org/W4255639099, https://openalex.org/W2085870055, https://openalex.org/W1541398362, https://openalex.org/W4225887196, https://openalex.org/W2319794630, https://openalex.org/W2188261908, https://openalex.org/W2162918294, https://openalex.org/W2013434109, https://openalex.org/W4409377367, https://openalex.org/W3025645172, https://openalex.org/W1985514943 |
| referenced_works_count | 58 |
| abstract_inverted_index.a | 6, 62, 81, 99 |
| abstract_inverted_index.To | 39 |
| abstract_inverted_index.as | 5, 151 |
| abstract_inverted_index.in | 102, 124, 140, 146 |
| abstract_inverted_index.is | 138 |
| abstract_inverted_index.of | 8, 29 |
| abstract_inverted_index.on | 72 |
| abstract_inverted_index.to | 67, 86, 119 |
| abstract_inverted_index.we | 46 |
| abstract_inverted_index.10% | 100 |
| abstract_inverted_index.and | 19, 26, 43, 76, 88, 117, 143, 153 |
| abstract_inverted_index.are | 34 |
| abstract_inverted_index.but | 16 |
| abstract_inverted_index.for | 36, 53 |
| abstract_inverted_index.not | 12 |
| abstract_inverted_index.the | 22, 48, 94, 135 |
| abstract_inverted_index.via | 80 |
| abstract_inverted_index.was | 110 |
| abstract_inverted_index.web | 83 |
| abstract_inverted_index.This | 59, 121 |
| abstract_inverted_index.also | 17 |
| abstract_inverted_index.only | 13 |
| abstract_inverted_index.peer | 69, 74 |
| abstract_inverted_index.such | 150 |
| abstract_inverted_index.team | 32, 57 |
| abstract_inverted_index.than | 113 |
| abstract_inverted_index.that | 134 |
| abstract_inverted_index.uses | 61 |
| abstract_inverted_index.with | 107, 114, 127 |
| abstract_inverted_index.Given | 21 |
| abstract_inverted_index.Human | 1 |
| abstract_inverted_index.These | 131 |
| abstract_inverted_index.based | 71 |
| abstract_inverted_index.local | 64 |
| abstract_inverted_index.other | 147 |
| abstract_inverted_index.teams | 109 |
| abstract_inverted_index.those | 91 |
| abstract_inverted_index.turn, | 125 |
| abstract_inverted_index.using | 93 |
| abstract_inverted_index.Yukari | 95, 136 |
| abstract_inverted_index.better | 128 |
| abstract_inverted_index.higher | 112 |
| abstract_inverted_index.levels | 78 |
| abstract_inverted_index.method | 60, 96, 137 |
| abstract_inverted_index.random | 87, 115 |
| abstract_inverted_index.search | 65 |
| abstract_inverted_index.secure | 82 |
| abstract_inverted_index.serves | 4 |
| abstract_inverted_index.showed | 97 |
| abstract_inverted_index.social | 154 |
| abstract_inverted_index.system | 52 |
| abstract_inverted_index.teams, | 90 |
| abstract_inverted_index.useful | 145 |
| abstract_inverted_index.Student | 105 |
| abstract_inverted_index.anatomy | 2, 55 |
| abstract_inverted_index.demands | 28 |
| abstract_inverted_index.enhance | 40 |
| abstract_inverted_index.medical | 9, 141 |
| abstract_inverted_index.student | 37, 73 |
| abstract_inverted_index.suggest | 133 |
| abstract_inverted_index.survey. | 84 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.Compared | 85 |
| abstract_inverted_index.academic | 44, 103, 129 |
| abstract_inverted_index.assigned | 92 |
| abstract_inverted_index.dynamics | 33 |
| abstract_inverted_index.findings | 132 |
| abstract_inverted_index.learning | 41 |
| abstract_inverted_index.maximize | 68 |
| abstract_inverted_index.success. | 38 |
| abstract_inverted_index.teamwork | 18 |
| abstract_inverted_index.algorithm | 66 |
| abstract_inverted_index.automated | 51 |
| abstract_inverted_index.collected | 79 |
| abstract_inverted_index.developed | 47 |
| abstract_inverted_index.education | 142 |
| abstract_inverted_index.effective | 31, 139 |
| abstract_inverted_index.emotional | 27 |
| abstract_inverted_index.essential | 35 |
| abstract_inverted_index.fostering | 11 |
| abstract_inverted_index.heuristic | 63 |
| abstract_inverted_index.increased | 122 |
| abstract_inverted_index.knowledge | 15 |
| abstract_inverted_index.outcomes, | 45 |
| abstract_inverted_index.outcomes. | 130 |
| abstract_inverted_index.physical, | 25 |
| abstract_inverted_index.sciences. | 155 |
| abstract_inverted_index.“Yukari | 49 |
| abstract_inverted_index.anatomical | 14 |
| abstract_inverted_index.assignment | 116 |
| abstract_inverted_index.comparable | 118 |
| abstract_inverted_index.correlated | 126 |
| abstract_inverted_index.dissection | 3, 56 |
| abstract_inverted_index.education, | 10 |
| abstract_inverted_index.motivation | 77 |
| abstract_inverted_index.optimizing | 54 |
| abstract_inverted_index.cornerstone | 7 |
| abstract_inverted_index.dissection, | 30 |
| abstract_inverted_index.engineering | 152 |
| abstract_inverted_index.experiences | 42 |
| abstract_inverted_index.improvement | 101 |
| abstract_inverted_index.potentially | 144 |
| abstract_inverted_index.preferences | 75 |
| abstract_inverted_index.assignments. | 58 |
| abstract_inverted_index.considerable | 23 |
| abstract_inverted_index.disciplines, | 149 |
| abstract_inverted_index.performance. | 104 |
| abstract_inverted_index.satisfaction | 106 |
| abstract_inverted_index.team‐based | 148 |
| abstract_inverted_index.approximately | 98 |
| abstract_inverted_index.compatibility | 70 |
| abstract_inverted_index.intellectual, | 24 |
| abstract_inverted_index.satisfaction, | 123 |
| abstract_inverted_index.significantly | 111 |
| abstract_inverted_index.method”—an | 50 |
| abstract_inverted_index.self‐selected | 89 |
| abstract_inverted_index.professionalism. | 20 |
| abstract_inverted_index.Yukari‐assigned | 108 |
| abstract_inverted_index.self‐selection. | 120 |
| cited_by_percentile_year | |
| corresponding_author_ids | https://openalex.org/A5032496516 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 7 |
| corresponding_institution_ids | https://openalex.org/I165735259 |
| citation_normalized_percentile.value | 0.48689348 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |