September 12, 2022

  • Updated
Download Icon Download

Sort Reactions by Number of Steps

This feature allows users to sort reaction results by ascending or descending number of steps when reactions are grouped by Scheme or Document:

Grouped by Scheme: Schemes are sorted by the lowest/highest number of steps of a reaction contained within the scheme, and the reactions within the scheme are sorted by lowest/highest number of steps.

Grouped by Document: The document containing the reaction with the lowest/highest number of steps in the reaction result is sorted first.

2022-09-12-1.png

As with all sort options, sort by Number of Steps becomes the user’s new default sort order when selected.

Knowledge Graph

Users may now create a Knowledge Graph of up to 150 references from a reference result set. The Knowledge Graph consists of nodes and edges:

  • Nodes: Represent the references, organizations, and authors contained in the result set and the substances and concepts that are indexed in those references.
  • Edges: Represent the connections between the nodes.

The Knowledge Graph enables researchers to quickly and interactively view the connectivity and shared indexing of references. For example, researchers can quickly visualize and answer basic questions like:

  • What organizations are working together in an area of research?
  • Who are the most prolific authors, and do they have coauthors with which they regularly publish?
  • What substances and concepts are the most highly indexed in this area of research?

Clicking the Knowledge Graph button in a reference result set opens the graph in a new tab. If there are more than 150 references in a result set, only the first 150 (based on the current sort order) will be contained in the Knowledge Graph.

2022-09-12-2.png

2022-09-12-3.png

The Knowledge Graph can be zoomed with the mouse wheel or the zoom controls on the page and can be panned by clicking and dragging on white space in the graph.

The relative size of the author, substance, concept, or organization nodes in the graph are based on the number of edges connected to that node: the larger the number of edges, the larger the node. The reference nodes are a consistent size.

Hovering over a node in the graph highlights the node and all connected nodes in the graph and their edges.

2022-09-12-4.png

If necessary for better visualization, nodes in the Knowledge Graph can be moved to another static location within the graph by clicking and dragging the node.

Single clicking a node in the graph provides a pop-up display:

  • Concept and author nodes display the concept or author name.
  • Reference nodes display the reference title and bibliographic information with a link to the reference detail, which will open in a new tab.
  • Substance nodes display the substance RN, image (if available), and substance name with a link to the substance detail, which will open in a new tab.

    2022-09-12-5.png
    2022-09-12-6.png

On the left side of the Knowledge Graph is a drawer that can be opened and closed. When open, the drawer displays the Knowledge Graph Key and filters. Knowledge Graph filters operate the same as filters for a reference result set but are limited to those references that are contained in the graph.

The Knowledge Graph Key identifies node types within the graph by color. The filters available for the Knowledge Graph are Document Type, Language, Publication Year, Author, Organization, Publication Name, and Concept; the contents can be downloaded to an .xlsx file.

2022-09-12-7.png

Hovering over a node type in the Knowledge Graph Key highlights all nodes of that type currently in the graph. For example, substances:

2022-09-12-8.png

The Knowledge Graph Key also allows researchers to switch content types (except references) on or off. When the switch is set to ON, that content type will be displayed in the graph. The content types are switched on by default when a Knowledge Graph is created.

2022-09-12-9.png