Pedro
Downloads: 12
Posts: 3
Smile Score: +3
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Member Since: 28 Sep 2008
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burypromote

Pedroj reviewed on 01 Oct 2013
This is still a beta version with *lots* of room for improvement, especially in the syncing area.
I have a huge library (22500 references with ca. 2700 pdf attachments). The scroll in the Library window does not refresh adequately, lefting overlapping lines.
The sync with iOS version is done *exclusively* via DropBox. So, for large libraries you'll want a paid DB subscription. There is no way to use alternative cloud repositories. Moreover, you must sync the whole thing: no way to select specific references or collections to sync.
The way a reference is edited is clumsy, i.e., in the addition of authors etc, which uses a preemptive filling from a list, or just adding the year of publication (I don't need day and month).
I noted a better implementation of the proxy access (e.g., to Web of Science) through institutional gateways.
The interface is iOS 7 and is nicely done.
I had problems with the importing of the my old Papers2 library, and had to restart the process twice.
My advice: don't use this as a primary tool for now, especially if you need syncing with an iPad or iPhone. It can co-exist with the previous Papers2, so you'll be getting back to use your old version quite often.
I've been a user of Papers since version 1. But frankly, it's getting harder to keep using it. It is NOT a smooth application to use and manage your references, and this is a must (smooth use) for people handling lots of bibliographic material.
[Version 3.0.2]



burypromote
+3

Pedroj reviewed on 26 Sep 2010
R is the tool for choice for serious statistical analysis. It's not an easy platform, however, and learning takes some time. The good side is how powerful it is for *any* type of analysis, data, or problem. The help support is very good and user forums are very active and helpful. This is not the package of choice if you are doing sporadic data analysis, but I'd recommend it to anyone seriously involved in statistical analysis. If you are just starting with statistics and plan to keep doing data analysis- go for it. If you are using other packages and statistical analysis is a major part of your study, go for it. No other package offers the versatility and support R has. If the command line mode is really intimidating to you, you can use the R-Commander GUI (just install the Rcmdr package), but the real power of R lies in its command-line. You can run R with the binary cocoa application, from the Terminal, within emacs, or within TextMate.
[Version 2.11.1]



burypromote

pedroj reviewed on 21 Nov 2007
Extremelly hard to remove once installed. Takes up a lot of computer resources while indexing. Definitely not my choice after new Spotlight in Leopard much improved.
[Version 1.3.1.806]



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