NlpSciencelitArticleMetadata

AI Overview😉

  • The potential purpose of this module is to analyze and extract metadata from scientific articles, particularly in the fields of medicine and life sciences. It appears to be focused on processing data from sources like PubMed and Medline, and extracting information such as article titles, authors, publication dates, and keywords.
  • This module could impact search results by allowing Google to better understand the content and relevance of scientific articles. By extracting and analyzing metadata, Google can improve its ability to rank articles based on their relevance to a user's search query, and provide more accurate and informative search results. This could be particularly important for users searching for scientific information, such as researchers, students, and healthcare professionals.
  • To be more favorable for this function, a website could ensure that its scientific articles are properly formatted and contain accurate metadata, such as article titles, authors, publication dates, and keywords. Additionally, using standardized formatting and markup languages, such as XML, could make it easier for Google to extract and analyze metadata. Furthermore, providing clear and concise abstracts and summaries could also help Google to better understand the content and relevance of the article.

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GoogleApi.ContentWarehouse.V1.Model.NlpSciencelitArticleMetadata (google_api_content_warehouse v0.4.0)

Next available ID: 20.

Attributes

  • abstract (type: GoogleApi.ContentWarehouse.V1.Model.NlpSciencelitTokenizedText.t, default: nil) - Abstract of article from metadata.
  • articleId (type: list(GoogleApi.ContentWarehouse.V1.Model.NlpSciencelitArticleId.t), default: nil) -
  • author (type: list(GoogleApi.ContentWarehouse.V1.Model.NlpSciencelitAuthor.t), default: nil) - Author of article.
  • dataset (type: list(GoogleApi.ContentWarehouse.V1.Model.NlpSciencelitDataset.t), default: nil) - Datasets referenced from this article.
  • dateStr (type: String.t, default: nil) - Most recent date YYYY-MM-DD.
  • deleted (type: boolean(), default: nil) - Citation for flagged for deletion by source.
  • heading (type: list(GoogleApi.ContentWarehouse.V1.Model.NlpSciencelitMeshHeading.t), default: nil) - Mesh Terms.
  • issue (type: String.t, default: nil) -
  • journal (type: String.t, default: nil) - Title of journal. For books: Journal = Publisher Volume = Collection
  • language (type: String.t, default: nil) -
  • lastRevisedDateStr (type: String.t, default: nil) - Last entry revision date YYYY-MM-DD.
  • metadataSource (type: list(String.t), default: nil) -
  • parsedFrom (type: String.t, default: nil) - Source Pubmed/Medline XML file.
  • pmid (type: String.t, default: nil) - PMID of article (for non-pubmed data, this is the docid).
  • publicationType (type: list(GoogleApi.ContentWarehouse.V1.Model.NlpSciencelitPublicationType.t), default: nil) -
  • scamRestrictTokens (type: GoogleApi.ContentWarehouse.V1.Model.ResearchScamV3Restrict.t, default: nil) - Optional ScaM restrict tokens to be added to all GFVs generated from this article's data.
  • title (type: String.t, default: nil) - Title of article.
  • url (type: list(String.t), default: nil) - URL(s) for the document. If possible, order by decreasing desirability.
  • volume (type: String.t, default: nil) -

Summary

Types

t()

Functions

decode(value, options)

Unwrap a decoded JSON object into its complex fields.

Types

Link to this type

t()

@type t() :: %GoogleApi.ContentWarehouse.V1.Model.NlpSciencelitArticleMetadata{
  abstract:
    GoogleApi.ContentWarehouse.V1.Model.NlpSciencelitTokenizedText.t() | nil,
  articleId:
    [GoogleApi.ContentWarehouse.V1.Model.NlpSciencelitArticleId.t()] | nil,
  author: [GoogleApi.ContentWarehouse.V1.Model.NlpSciencelitAuthor.t()] | nil,
  dataset: [GoogleApi.ContentWarehouse.V1.Model.NlpSciencelitDataset.t()] | nil,
  dateStr: String.t() | nil,
  deleted: boolean() | nil,
  heading:
    [GoogleApi.ContentWarehouse.V1.Model.NlpSciencelitMeshHeading.t()] | nil,
  issue: String.t() | nil,
  journal: String.t() | nil,
  language: String.t() | nil,
  lastRevisedDateStr: String.t() | nil,
  metadataSource: [String.t()] | nil,
  parsedFrom: String.t() | nil,
  pmid: String.t() | nil,
  publicationType:
    [GoogleApi.ContentWarehouse.V1.Model.NlpSciencelitPublicationType.t()] | nil,
  scamRestrictTokens:
    GoogleApi.ContentWarehouse.V1.Model.ResearchScamV3Restrict.t() | nil,
  title: String.t() | nil,
  url: [String.t()] | nil,
  volume: String.t() | nil
}

Functions

Link to this function

decode(value, options)

@spec decode(struct(), keyword()) :: struct()

Unwrap a decoded JSON object into its complex fields.