OVERVIEW
Once you have saved your different sets based on your research question, build a heatmap to look at the number of co-occurrence between two sets of concepts. This allows you to prioritize the relations based on literature references.
STEPS
Note | A user action, such as click or enter, is italicized.A visible item on the platform, such as a [link] or a [button], is in square brackets.A link to another article or external source is underlined. |
1. Click the boxes next to the two sets of concepts you want to plot in a heatmap.
2. Click the [Heatmap] button on the top right of the page to generate the heatmap relating the two selected sets.
Note
| The [Heatmap] button is enabled and becomes clickable when exactly two sets are selected. |
3.
A new page with a heatmap showing abstract co-occurrences (as well as database references) for concepts in Set 1 versus Set 2 is shown by default. If needed, click the [Swap axis] button to switch the arrangement of the two sets in the heatmap to better fit the screen.
Note
| Concepts from one set are shown in columns and concepts from the other set are shown in rows in the heatmap.The heatmap colors are based on the number of references (both abstract co-occurrence and database annotations) for each pair of concepts for Set 1 versus Set 2. In the case where there are large outliers, the color intensity of the heatmap can be altered by sliding the scale bar to change the range of the reference count values: |
4. Click the [downward arrow] located next to the [Abstract co-occurrence] tab to switch the heatmap from showing abstract co-occurrence to sentence co-occurrence.
Note | When the heatmap view is in the [Sentence co-occurrence] mode, the color intensity of the heatmap reflects the number of references in which each pair of concepts for Set 1 versus Set 2 co-occurs in a sentence within the abstracts of the publications. |
5.
5. Click on a row or a column name in the heatmap to sort (this sorts the count values from high to low (0r vice-versa) for that row or column).
Note
| Another way to sort is to click the [Sorting actions] dropdown box for the different options to sort the heatmap. |
6.
6. Hover over a cell on the heatmap to get the reference count for a pair of concepts and click it to get an initial list of publication and database references where the concepts co-occurs.
7.
7. In the pop up window, click [Open full search page] to get the entire search result.
Note | Clicking [Open full search page] brings you to [Search] with the search box already filled out for the pair of concepts. Refer to this article on how to filter search results. If the heatmap is in the [Abstract co-occurrence] view, the full search results will include publications and database references for the selected pair of concepts. If the heatmap is in the [Sentence co-occurrence] view, the full search results will only include publications where the selected pair of concepts co-occurs in a sentence in the abstracts. |
8.
8. Drag your cursor across those concepts your want to select. Various additional actions can taken after selection of the heatmap:
To view the concepts in a relation map, click [Show on relation map]. This will open as a separate window.
To save the selected concepts as a set, click [Save as set]. The [Save set] pop up window appears. Click the [Save] button after entering the appropriate name, tag, and description for the new set. The set will be saved to the [Sets] folder.
To delete the selected concepts, rows, or columns, click the [Deleting actions] dropdown box.
9. Click [Export to CSV] to save the entire heatmap, which will be saved in the format of a count table displaying the reference numbers.
Possible next steps
- Click through the heatmap to look at those concept relations with high publication counts and explore the search results
- Select concepts in the heatmap to build a relation map
Related resources
- How to filter search results?
- How to add to or delete concepts from a set?
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