Predictors of Long-Term Survival Among Patients With Brain Metastases Article Swipe
Nayan Lamba
,
Daniel Cagney
,
Paul J. Catalano
,
Patrick Y. Wen
,
Daphne A. Haas‐Kogan
,
Ayal A. Aizer
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1016/j.ijrobp.2021.07.1541
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1016/j.ijrobp.2021.07.1541
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.ijrobp.2021.07.1541
- https://doi.org/10.1016/j.ijrobp.2021.07.1541
- OA Status
- bronze
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3210399106
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3210399106Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1016/j.ijrobp.2021.07.1541Digital Object Identifier
- Title
-
Predictors of Long-Term Survival Among Patients With Brain MetastasesWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-10-25Full publication date if available
- Authors
-
Nayan Lamba, Daniel Cagney, Paul J. Catalano, Patrick Y. Wen, Daphne A. Haas‐Kogan, Ayal A. AizerList of authors in order
- Landing page
-
https://doi.org/10.1016/j.ijrobp.2021.07.1541Publisher landing page
- PDF URL
-
https://doi.org/10.1016/j.ijrobp.2021.07.1541Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
bronzeOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1016/j.ijrobp.2021.07.1541Direct OA link when available
- Concepts
-
Medicine, Internal medicine, Logistic regression, Log-rank test, Survival analysis, Odds ratio, Proportional hazards model, Population, Lung cancer, Odds, Oncology, Environmental healthTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | International Journal of Radiation Oncology*Biology*Physics |
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| best_oa_location.source.host_organization_name | Elsevier BV |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310320990 |
| best_oa_location.license | |
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| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | International Journal of Radiation Oncology*Biology*Physics |
| best_oa_location.landing_page_url | https://doi.org/10.1016/j.ijrobp.2021.07.1541 |
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| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S110533041 |
| primary_location.source.issn | 0360-3016, 1879-355X |
| primary_location.source.type | journal |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | 0360-3016 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | International Journal of Radiation Oncology*Biology*Physics |
| primary_location.source.host_organization | https://openalex.org/P4310320990 |
| primary_location.source.host_organization_name | Elsevier BV |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310320990 |
| primary_location.license | |
| primary_location.pdf_url | https://doi.org/10.1016/j.ijrobp.2021.07.1541 |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | International Journal of Radiation Oncology*Biology*Physics |
| primary_location.landing_page_url | https://doi.org/10.1016/j.ijrobp.2021.07.1541 |
| publication_date | 2021-10-25 |
| publication_year | 2021 |
| referenced_works_count | 0 |
| abstract_inverted_index | |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 6 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
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| citation_normalized_percentile.is_in_top_10_percent | False |