If you really want to get to know all the functionality of Inciteful, you’ve found the right place.

Beta Features
Paper Discovery
- Graph Filters
  - Keyword Filters
    - Boolean Queries
    - Porter Stemming
  - Distance Filters
- SQL Query Panel
  - Database Schema
    - papers
    - authors
  - title_search('SEARCH_TERM')
    - title_terms
Literature Connector
- Context (right-click) Options
- Graph Filters
  - Keyword Filters
  - Extended Graphs
BibTeX

Beta Features

Community feedback is invaluable. That’s why you can opt into features we are testing from our Beta Features page. Go boldly forth if you are the adventurous type.

Paper Discovery

Graph Filters

On every graph dashboard there are a set of filters which allow you to filter the contents of the tables below. This allows you to really dig into the graph and find the type of papers you are looking for. The three types of filters are keywords, distance, and year.

The year filter is pretty straight forward it filters on the year the paper was published. The other two need a bit more explaining.

Keyword Filters

The keyword filters do just that, they filter on keywords present in the title. Unfortunately we do not have access to abstracts at this point and so title filtering is the best we can do.

We tried to make the search flexible.

Boolean Queries

The keyword filter does do Boolean queries. So you can use the AND, OR, and NOT in your queries. The following are all valid queries:

hello AND world
foo OR bar
(goodbye AND world) NOT cruel

You can join them together to your heart’s content.

Porter Stemming

Also, the keywords you put in are subject to the Porter Stemming Algorithm so that it will do partial matches on words. For example, the following words would all match each other with the same stem of connect:

connect
connected
connecting
connection
connections

Distance Filters

In order to really understand the distance filters you first need to understand how the paper discovery tools works. But I will do a quick rundown here.

For graphs that are centered on a single seed paper:

the seed paper has a distance of 0
papers which either cite the seed paper or are cited by the seed paper have a distance of 1
papers which either cite or are cited by the papers with a distance of 1, have a distance of 2

In visual form:

For papers which are centered around multiple seed papers:

the “fake paper” we create has a distance of 0
the seed papers have a distance of 1
papers which either cite or are cited by the seed papers have a distance of 2

For a better understanding, head over to the Paper Discovery Explained page.

SQL Query Panel

Database Schema

The following is the schema for the database which you query. Every graph has a corresponding unique database.

`papers`

The table containing all of the papers in the graph

Column Name	Type	Description
paper_id	INTEGER	The unique id of the paper.
doi	TEXT	The doi of the paper in question.
authors	TEXT	A json field of all the authors on the paper.
title	TEXT	The title of the paper.
published_year	INTEGER	The year the paper was published.
journal	TEXT	The journal in which the paper was published.
volume	TEXT	The volume of the journal in which the paper was published.
num_authors	INTEGER	The number of authors on the paper.
num_citing	INTEGER	The number of papers which this papers cites.
num_cited_by	INTEGER	The number of papers which cite this paper.
distance	INTEGER	The distance away (as an undirected graph) this paper lies from the `seed paper`.
page_rank	REAL	The PageRank of this paper.
adamic_adar	REAL	The Adamic/Adar score of the paper. Adamic/Adar is a link prediction algorithm which, when used in this context, can help to detect similarity between papers.
cocite	REAL	The co-citation score between two papers. We use the Salton Index to calculate the score.

`authors`

A denormalized table containing the metadata about each author for each paper.

Column Name	Type	Description
author_id	INTEGER	The unique id of the author.
paper_id	INTEGER	The unique id of the paper.
name	TEXT	The name of the author.
sequence	INTEGER	The sequence of the author in the paper.
affiliation	TEXT	The affiliation of the author at the time the paper was written

`title_search('SEARCH_TERM')`

A table containing a full text index of the paper titles that can be searched by replacing {SEARCH_TERM} with the query of your choice. You can use Boolean operators like AND, OR, and NOT in addition to parenthesis to create matching logic. An example finding the best match:

SELECT * FROM title_search('refugee') ORDER BY bm25(title_search)

Column Name	Type	Description
paper_id	INTEGER	The unique id of the paper.
title	TEXT	The text which was searched.
bm25(title_search)	REAL	Returns a real value indicating how well the current row matches the full-text query. The better the match, the numerically smaller the value returned.

`title_terms`

A table a list of all of the stemmed title terms present in the full text index and their counts.

Column Name	Type	Description
term	TEXT	The porter-stemmed terms which appear in the titles.
doc_count	INT	The number of papers in which these terms appear.

Literature Connector

Context (right-click) Options

The ability to right click on paper nodes in the graph is something that is not obvious but helps with exploring the graphs. The right click menu quickly allows you to set a new “from” or “to” paper, add a paper to a new “paper discovery search”, lock a the graph’s paths to a particular paper, or jump directly to the “Paper Discovery” view of that single paper.

Graph Filters

On every page there are a set of filters which allow you to filter the contents of the table and highlight matches in the graph. This allows you to help you see the different clusters of papers. The three types of filters are keywords, year, and Extended Graph.

The year filter is pretty straight forward it filters on the year the paper was published. The other two need a bit more explaining.

Keyword Filters

The keyword filters do just that, they filter on keywords present in the title. Unfortunately we do not have access to abstracts at this point and so title filtering is the best we can do. The keywords use Porter Stemming just like the paper discovery tool and unfortunately there is no boolean searching at this point. The keywords are all “AND”.

Extended Graphs

Often times when you are connecting two close papers the graph won’t be that interesting. The papers might be directly connected or are connected by just a few other papers. As in this example:

So while it’s interesting to see the three papers they have in common, you get more interesting results if you extend the paths by an extra level. So in this case that means including all paths of three hops in addition to the paths of two hops. The end result gives you a better overview of how these papers are interrelated:

Additionally things like the keyword cloud are better populated to give more context:

BibTeX

Inciteful supports both BibTeX importing as well as exporting. The import functionality is used to seed a graph and the export functionality is used to save papers that are of interest to you.

Importing into Inciteful

Instead of manually building up your network, you can use the import functionality to seed a network with papers in which you are already interested. In order to do so, go to the home page and under the main search box there is an Import BibTeX link. Click on that to use your BibTeX file as the basis for your search.

Note: Inciteful will only recognize BibTeX entries with a DOI associated with them. So please be sure that your references have the appropriate DOIs. If using Zotero, you can use the Locate functionality to expedite this process.

Mendeley: Exporting Citations to a BibTex file

Select the references you wish to export to BibTex in Mendeley
Under the File menu item click Export
Then choose file type BibTex (*.bib), save your BibTex file with a .bib extension

Zotero: Exporting Citations to a BibTex file

Under the My Library menu on the left, right click on the folder you wish to export.
In the context menu click Export Collection
Then choose the BibTex format and click OK
Save your BibTex file with a .bib extension

Exporting from Inciteful

At the bottom of every table which has a DOI in the data, there will be an export button () which you can use to export the contents of the table in a BibTeX format.