Recommending a free reference manager, PaperBox

1 min read

Reference managing is pretty annoying. But you can’t do research without reading papers, and can’t write manuscript without citing papers. Here I recommend a program which will effectively solve this problem.

PaperBox ( is like EndNote, but with the following features:

  1. Access my library from any computer. For example, I have a Mac at lab, a PC at home, I also have an iPad and android smartphone.  I found an interesting paper at lab and added to my library and when I return home and log in PaperBox I can find that paper.
  2. Easy collaboration. I am managing a project on studying the social effect on human brain. Quite a few people are in this project, including 3 students and 2 postdocs. We need to constantly share papers and do journal clubs. We used to use email attachments; but it’s painful. Now with paperbox, I simply create a tag called “cog_social” and shared it with my colleagues. Whenever I add papers into this tag, they instantly get notified and see the paper. They can also add new papers to the tag. On top of it, we can cite the papers we collected together in Word – previously we have to email our endnote library back and forth.
  3. Realtime reference hinting. I found I need a “writing mood” to write papers. But my writing mood was always interrupted when I had to switch between Word and Endnote, and switch between keyboard and mouse. Now with the “realtime reference hinting” feature, I can cite in MS Word without breaking my flow. I simply type {{ and all my papers are listed. If I want to cite a paper authored by “David”, then I simply type {{david and only David’s papers are listed. Then I hit return and insert the citation. After the paper is done, I select a journal (e.g. Nature) and the citation is formatted accordingly.
  4. Import from EndNote. I have 60 papers in my EndNote library. First I saved my EndNote library as xml format, then imported that xml file in Peaya Paper. All my papers (and PDFs) are imported.

Other features include new paper alert, tagging, and discussion, etc. I’m sure your productivity will be improved a lot.

Where to download:

Disclosure: I am the founder of PaperBox.

Receive email notification via email 博客有新内容通知我

Don't want to miss new papers in your field? Check out Stork we developed:

xjview 10.0 released

xjView is a viewing program to visualize fMRI images. It can also be used to visualize fNIRS data if you convert the fNIRS activation...
Xu Cui
14 sec read


作者:北京师范大学 龙宇航,longyuhangwork@163.com代码来源(见本页底部):周思远 在使用wtc计算脑间神经同步后,我们需要在多个频率段、多个通道组合上对神经同步值进行统计检验,因此当进行频段选择时,面临多重比较的问题。为了解决多重比较的问题,可以采取基于参数或非参数检验的多重比较矫正的方法。由于基于非参数检验的多重比较矫正对数据的分布形态没有严格要求,因此具有更广泛的应用场景 (Maris and Oostenveld, 2007)。本文即介绍基于随机置换的非参数检验的方法 (Zheng et al., 2020; Long et al., 2021)。 在寻找感兴趣的效应时,我们采取了基于频率簇(Cluster)的方法,即在频率方向寻找连续显著的Cluster,该方法比基于最强效应点的方法具有更为优秀的抗噪音能力。值得注意的是,我们并没有沿着通道的方向去寻找连续显著的通道簇,这是因为沿着通道方向寻找Cluster容易受到生理噪音的影响。 下面进入具体的实操部分。假设本例招募了22对组1被试及22对组2被试,每对被试分别进行3种条件的任务,因此本例是2(组别,被试间因素)*3(条件,被试内因素)的实验设计。本例对神经同步值进行2*3的混合方差分析,并关注交互作用。 具体来讲,进行置换检验需要进行以下几个步骤:1. 重采样;2. 对随机样本进行计算及统计;3. 计算真实样本的统计量;4. 真实样本与随机样本的对比。下面依次进行介绍。 1. 重采样...
Xu Cui
1 min read

Calculate phase difference between two general signals (e.g. HbO…

In a recent fNIRS journal club (vedio recorded here), Dr. Tong talked about their work on the phase difference between oxy and deoxy Hb,...
Xu Cui
1 min read

Leave a Reply

Your email address will not be published. Required fields are marked *