In-line NIR coupled with machine learning to predict mechanical properties and dissolution profile of PLA-Aspirin Article Swipe
Nimra Munir
,
Tielidy de Lima
,
Michael Nugent
,
Marion McAfee
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1186/s42252-024-00063-5
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1186/s42252-024-00063-5
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1186/s42252-024-00063-5
- https://functionalcompositematerials.springeropen.com/counter/pdf/10.1186/s42252-024-00063-5
- OA Status
- gold
- Cited By
- 4
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- 91
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4403237563
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4403237563Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1186/s42252-024-00063-5Digital Object Identifier
- Title
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In-line NIR coupled with machine learning to predict mechanical properties and dissolution profile of PLA-AspirinWork title
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-10-08Full publication date if available
- Authors
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Nimra Munir, Tielidy de Lima, Michael Nugent, Marion McAfeeList of authors in order
- Landing page
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https://doi.org/10.1186/s42252-024-00063-5Publisher landing page
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https://functionalcompositematerials.springeropen.com/counter/pdf/10.1186/s42252-024-00063-5Direct link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://functionalcompositematerials.springeropen.com/counter/pdf/10.1186/s42252-024-00063-5Direct OA link when available
- Concepts
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Dissolution, Aspirin, Line (geometry), Materials science, Chemistry, Mathematics, Organic chemistry, Biochemistry, GeometryTop concepts (fields/topics) attached by OpenAlex
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4Total citation count in OpenAlex
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2025: 4Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| referenced_works_count | 91 |
| abstract_inverted_index | |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 97 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/8 |
| sustainable_development_goals[0].score | 0.5699999928474426 |
| sustainable_development_goals[0].display_name | Decent work and economic growth |
| citation_normalized_percentile.value | 0.85719067 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |