

Paperly
Paperly is a paper reader, which aims to improve the whole experience of reading, note-taking and mind mapping. Three key features are provided: (1) WYSIWYG Citation; (2) Contextual Notebook; (3) Scholar Mind Graph.
Cost / License
- Freemium (Pay once)
- Proprietary
Platforms
- Mac
- Windows
- Linux
Features
- Mind Mapping
- Built-in Note Taker
- Citation detection
Tags
- Academic Papers
- citation
- Reference
Paperly News & Activities
Recent News
Recent activities
Paperly information
Featured in Lists
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What is Paperly?
Paperly is paper reader designed for researchers. Its goal is to improve the whole experience of reading, note-taking and mind mapping as a reader.
Three key features are provided correspondingly:
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WYSIWYG Citation; Scrolling PDF document to the end for checking the reference information is a time-wasting and distracting operation. What’s worse, most of us can not quickly go back to or even lose the citation place where we have just read. (1) Citation Tooltip: show the reference information when the mouse moves to a citation in text. (2) Reference sidebar: lists all the references in a sidebar for quick searching. Below features are also provided: (3) Local citation frequency?—?the number one reference has been cited in this paper. (4) Metadata?—?DOI, abstract, keywords and etc. of each reference. (5) Mark?—?meet any important reference, mark it down.
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Contextual Notebook; The biggest problem of taking notes on traditional PDF readers is: all notes are stored in the PDF files and can not be extracted to a notebook. With Paperly, all notes you took on PDF are collected automatically into a notebook which can also go back to the context of any note. The tag system is embedded so you can use tags to manage your note neatly.
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Scholar Mind Graph Link your papers & notes& keywords & tags. Three types of graph are provided to help you organize your knowledge: (1) keyword graph: If two papers share the same keywords, they would be linked by the keywords. (2) tag graph: If two notes share the same tags, they would be linked by the tags. (3) link graph: (The ‘#’ function is just like the one on Twitter to mention some topics.) “this idea is much the same as #paper1” “for further data analysis, check #paper2”.




Comments and Reviews
The WYSIWYG citation just save my reading time!