# Welcome to ShortScience.org!
Research papers can be hard to understand for anyone entering a field of research.
It is useful to ask an expert in the field to summarize the intuition behind a paper to help you understand it but they can be hard to find.
ShortScience.org was created with the goal of fostering and consolidating post-publication discussion of research.
By having notes from different authors organized together about each research paper we believe we can accelerate the understanding of research.
We feel that the site can speed up the literature review process and increase the number of active researchers by decreasing the barriers to understand and improve on concepts.
Everyone can write summaries and share notes for any paper that exists in our database (which includes anything with a DOI, on arXiv, or on Bibsonomy).
These summaries are voted on by each user using a simple up or down metric.
Each summary can be set as private which is useful for personal organization of papers.
ShortScience.org is inspired by this Einstein quote:
*"If I can't explain it simply, I don't understand it well enough."*
Do you understand a paper well enough?
Prove it to yourself by writing a summary for it!
Also, write summaries of your own papers to help people to understand it and gain impact!
## Tips to use the service:
1. Search for papers using the full title, the DOI, or ar$\large\chi$iv id. The search can access all papers in the [DOI](http://www.crossref.org/), [ar$\large\chi$iv](http://arxiv.org), [dblp](http://dblp.uni-trier.de/), and [Bibsonomy](http://bibsonomy.org) databases to allow you to write a summary for just about all research papers.
2. When you write a summary you can choose to keep it private or make it public. You can also make it public and hide your name.
3. You can look at all your summaries on your [profile page](user) to quickly review each paper.
4. When writing your summary you can write $\LaTeX$ and see real-time rendering of the equations. You can also use [markdown syntax](https://en.support.wordpress.com/markdown-quick-reference/) to make things bold or insert tables or images or code.
5. To see the source of of someone's summary click the eye icon.
6. Papers are identified by *bibtexKey*s which can will be a Bibsonomy key or a DOI. In your summary you can reference other papers with these keys in a $\LaTeX$ \cite reference.
7. To get started [create an account](signup). If you don't like it you can export all your summaries from your [profile page](user).
8. Once you are finished writing your post click the share arrow to post it on your social media.
9. Subscribe to our [RSS](http://www.shortscience.org/rss.xml) feed or follow us on [Twitter](https://twitter.com/shortscienceorg) to stay up to date.
Cohen, Joseph P. and Lo, Henry Z., (2017). ShortScience.org - Reproducing Intuition. International Conference on Machine Learning 2017 Workshop on Reproducibility in Machine Learning. [https://arxiv.org/abs/1707.06684](https://arxiv.org/abs/1707.06684)
ShortScience.org will follow the [ar$\large\chi$iv](http://arxiv.org) model of licenses and copyright.
ShortScience.org does not ask that copyright be transferred.
However, by posting a summary on the site you assign the minimum amount of rights or certify that we have the minimum amount of rights needed to host it.
## Contact Us:
Primary contact: Joseph Paul Cohen
Joseph Paul Cohen PhD
Postdoctoral Fellow at University of Montreal
National Science Foundation Graduate Fellow
Henry Z Lo PhD
Swami Iyer PhD
Lecturer, Computer Science Department
University of Massachusetts Boston