Journal Pages
This morning we added journal pages to the site. Now you can see the most talked about articles in your favourite journal with ease!
You can get to the journal pages by clicking on the journal title in each article snippet.

JBB: An Artblog!
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Monterey Bay Aquarium

izzy's playlists!

PR's Tumblrdome

Kaledo Art
🪼
almost home
Sade Olutola
i don't do bad sauce passes
taylor price

shark vs the universe
Aqua Utopia|海の底で記憶を紡ぐ

❣ Chile in a Photography ❣

Product Placement

Janaina Medeiros
Mike Driver
Peter Solarz

No title available
sheepfilms

seen from United States
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seen from Türkiye
seen from Poland
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seen from United States
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seen from Türkiye

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@scicombinator
Journal Pages
This morning we added journal pages to the site. Now you can see the most talked about articles in your favourite journal with ease!
You can get to the journal pages by clicking on the journal title in each article snippet.
Add SciCombinator to Your iOS Home Screen
We've just pushed some changes that will allow you to treat SciCombinator as a standalone application on iOS (iPhone and iPad) devices, and have a nice icon on your home screen. Please see here for instructions on how to add web sites to your home screen: http://www.apple.com/ios/add-to-home-screen/ We hope you like the new feature! This should also work on some Android devices, but we've not got any devices to test it with. Please let us know if it works or there are any problems.
Introducing Concepts
Yesterday we launched article [concepts](http://www.scicombinator.com/concepts) on SciCombinator. Concepts are tags on our articles automatically extracted from an article's title and abstract, giving an indication of the subject(s) being talked about within the article. This gives us a nice, loose form of categorisation that we were seriously lacking before. So, if you find a paper that seems interesting, you can follow the concept links to see other papers on the same subjects. We've got a few more ideas to aid content categorisation and discovery a bit more in the future, (there are some other things we need to sort out first though), but we hope you agree with us that this is a great start. Finally, we'd like to say a big thank you to the folks over at [AlchemyAPI](http://www.alchemyapi.com/). The automated concept tagging is done using one of their natural language processing services, and they have kindly given us free use of their API - thanks!