NlpSciencelitArticleId

AI Overview😉

  • The potential purpose of this module is to identify and extract unique identifiers associated with scientific articles, such as PubMed IDs (PMID), Digital Object Identifiers (DOI), and PubMed Central IDs (PMC). This allows Google to better understand the credibility and relevance of scientific content.
  • This module could impact search results by giving more weight to articles with credible and unique identifiers, potentially ranking them higher in search results. This could lead to more trustworthy and reliable sources appearing at the top of search results, improving the overall quality of search results for scientific queries.
  • To be more favorable for this function, a website could ensure that their scientific articles include relevant and unique identifiers such as PMID, DOI, or PMC IDs. They could also provide structured data and metadata about their articles, making it easier for Google to extract and understand this information. Additionally, websites could focus on producing high-quality, trustworthy, and credible scientific content to increase their chances of being ranked higher in search results.

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

Article IDs associated with an article (e.g., PMID, DOI, PMC).

Attributes

  • id (type: String.t, default: nil) -
  • idType (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.NlpSciencelitArticleId{
  id: String.t() | nil,
  idType: 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.