ResearchScienceSearchScholarlyArticle

ResearchSearch Infrastructure

GoogleApi.ContentWarehouse.V1.Model.ResearchScienceSearchScholarlyArticle

3
out of 10
Low
SEO Impact
Data and associated metadata for a scholarly pdf article.

SEO Analysis

AI Generated

Core search serving infrastructure. While not a direct ranking signal, these systems process and serve search results. This model (Research Science Search Scholarly Article) contains 6 attributes that define its data structure. Key functionality includes: Proto containing all of the Scholar Metadata for this article.

Actionable Insights for SEOs

  • Understanding this model helps SEOs grasp Google's internal data architecture
  • Consider how this system might interact with other ranking signals

Attributes

6
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citationScienceCitation →
Default: nilFull type: GoogleApi.ContentWarehouse.V1.Model.ScienceCitation.t

Proto containing all of the Scholar Metadata for this article.

figureOrTableImagestring
Default: nilFull type: String.t

contains the image of the figure or table cropped out of the pdf page encoded as a PNG.

figureOrTableOcrTextstring
Default: nilFull type: String.t

Contains the text (as detected by OCR) contained inside the image of the figure or table.

landingPageUrlstring
Default: nilFull type: String.t

The url of the landing page for the scholarly article.

pageNumberinteger(
Default: nil

The page number where the table and figure is located in the original pdf document.

pdfDownloadUrlstring
Default: nilFull type: String.t

The url where the pdf file is located for the scholarly article.