Closed mainakjas closed 8 years ago
I think it's a good idea. It will help boost the visibility of the project even more.
+1 maybe directly parse scholar citations for the two articles.
+1 for automatic parsing
It turns out there is this: https://github.com/ckreibich/scholar.py. So, we can just copy that one file in externals
and automatically do the parsing. Looks like a nice Sunday hack for someone bored :)
it would be nice indeed
I think I (almost) got it working, but the problem is that google scholar thinks the script is a bot (which it is?) -- so it fails half of the time. So, looks like it's a dead end.
Just for pedantic value, I am sharing the code. It's basically a hacked version of the google scholar parser -- but I changed a bit the parse_soup_page
function, which parses the html using Beautiful soup
When I had tried parsing gscholar a few years ago, I got banned several times (i.e. can't access the page for 12h)... FWIR Pubmed has an easier and less defensive interface.
You can also just create gscholar notifications, and set up a mail server to collect that information.
interesting. Thanks for the ideas. Let me think about it tomorrow at the brainhack
(gscholar used to have RSS feeds for notifications, not sure whether this is still the case; if so that should be an easy hack)
one question. Did you also face anti-bot policy with pubmed? Or you didn't try enough to know?
Not an explicit one, but FWIR it seemed pretty slow.
Maybe this helpful here, a small library for dealing with pubmed i wrote a few years ago.
https://github.com/PyMed/PyMed
It avoids getting blocked and so on.
On 26 Feb 2016, at 01:45, Jean-Rémi KING notifications@github.com wrote:
Not an explicit one, but FWIR it seemed pretty slow.
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amazing, looks like I have a task at hand tomorrow :) If you guys want to stick with Google Scholar, looks like I found a solution ;)
We should have a page where we list all the publications that use MNE-Python for their analysis.
Thoughts @teonlamont @agramfort @dengemann @Eric89GXL ?