NlpSciencelitPubDate

AI Overview😉

  • The potential purpose of this module is to extract and analyze the publication date of academic articles from PubMed Central (PMC) metadata, allowing Google to better understand the relevance and timeliness of the content.
  • This module could impact search results by influencing the ranking of academic articles based on their publication date. More recent articles may be considered more relevant and therefore ranked higher in search results, while older articles may be demoted. This could also affect the diversity of search results, with more recent articles from a particular field or topic being prioritized over older ones.
  • To be more favorable for this function, a website may ensure that their academic articles have accurate and up-to-date publication dates in their metadata, particularly in PMC format. They may also consider optimizing their content to highlight recent research and developments in their field, and providing clear and consistent date information throughout their website.

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

Pubdate extracted from PMC article metadata.

Attributes

  • dateStr (type: String.t, default: nil) -
  • pubType (type: String.t, default: nil) - "ppub" for a print ISSN and "epub" for an electronic ISSN.

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.NlpSciencelitPubDate{
  dateStr: String.t() | nil,
  pubType: 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.