Stork is my best research assistant

1 min read

Stork
Stork

When I was a graduate student at Baylor College of Medicine, I found myself often in an embarrassing situation — I felt completely lost when my fellow graduate students heatedly discussed a paper in our field but I never heard of this publication at all. Later a PubMed search revealed that this paper was indeed published more than a year ago!

There was even a time when I didn’t know my own boss had a new publication. It was in part because I was in a big lab and I was not involved in that project. But still, I felt like I didn’t fulfill my duty as an up-to-date young researcher.

My problem was finally resolved several years later when we developed the Eye function in Paperbox, which is now renamed Stork. Stork is pretty easy to use. What I need to do is to simply enter all my keywords and researchers’ names and Stork takes care of everything. Stork will help me perform the search every day and send me the results. After using Stork, now I’m the first one in the lab to know that “The most renowned David Boas has a new publication” or “There’s another group using NIRS to hyperscan”. I never embarrass myself again and gain a lot of confidence.

I have more than 50 keywords. You may ask “will Stork send you 50 emails a day?” Not at all because Stork respects my inbox. It will compile all results into one email.

Stork is also smart. As a researcher, I am sometimes overwhelmed by the flood of publications and have headache in determining which ones are worth reading. Stork helps! She will mark the impact factor of each publication with the yellow color. The more yellow, the higher the impact factor. Therefore I only need to read top publications when I am busy.

If you also want to be the first one to know new publications in your field, why don’t you give Stork a try? I’m sure you’ll be delighted!

Below is one sample email Stork sent to me.

Stork Sample Email
Stork Sample Email

Below are some of the key words I’ve been using. Anyone work on NIRS and fMRI can borrow:

  1. (fumiko hoeft) AND ((university of california) OR stanford)   
  2. (jian li) AND ((phelps) OR montague OR (Peking University psychology))   
  3. baldwin Philip   
  4. brooks king-casas   
  5. cell[ta] fmri   
  6. chao liu, beijing normal university   
  7. chess stetson   
  8. David Boas   
  9. David Hong stanford   
  10. dongni yang baylor   
  11. eagleman dm [au] baylor   
  12. fmri deception   
  13. fmri resting state parent child   
  14. hanli liu, university of texas   
  15. Hosseini, S M Hadi   
  16. hyperscanning   
  17. iphone   
  18. Jack Gallant   
  19. Kendrick Kay   
  20. koniku   
  21. lumosity   
  22. montague pr [au] baylor   
  23. montague pr[au] Virginia Tech   
  24. MyConnectome   
  25. nature[ta] fmri   
  26. ning gao, tsinghua   
  27. nirs brain   
  28. nirs deception   
  29. nu zhang, washington   
  30. pearl chiu   
  31. reiss al [au] stanford   
  32. rory sayres   
  33. Russell Poldrack, stanford   
  34. saggar manish   
  35. science[ta] fmri   
  36. signe bray   
  37. smart phone brain   
  38. social nirs   
  39. stanford kesler shelli   
  40. ting ni   
  41. xianchun li, “East China Normal University”   
  42. xiaolin zhou[au] peking   
  43. xu cui AND (stanford OR baylor OR Texas)   
  44. xu q[au] harvard   
  45. yan song[au] stanford   
  46. yangming wang, peking   
  47. yufeng shen [au]   
  48. yulong li (stanford or Peking)   
  49. zen meditation   
  50. zhu chao-zhe beijing   


Receive email notification via email 博客有新内容通知我
文献鸟,永远不错过新文献!

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


会说话的文献鸟

很久以前,有个国王。他有一只宠物鸟。这只鸟最特别的地方是它能说人话。国王因此非常喜欢它。虽然是只鸟,可是好像它无所不知,王国内最新发生的消息它都知道,每天都会向国王报告。这只鸟成了国王主要的信息来源。 不知过了多少轮回,国王在我们这个年代成了一名科学家。他竟然还记得前世的事情,于是他想:“我的宠物鸟是不是也在这个世上?”可是,虽然遇到过无数的鸟,却没有一只是当年的宠物鸟。 有一天他在网上遇到文献鸟的时候,他才明白,过去的宠物鸟经过千百年的轮回,已经虚拟化,变成了一个网站引用。可是,和过去一样,它无所不知,了解最新的消息。并且让人惊讶的是,它真的还可以说话!过去的国王、就是现在的科学家,当他收到文献鸟的推送文献后,只要点一下耳机图标,文献鸟就开始给他报告最新的科研进展,就像过去一样。 亲爱的,你找到自己的文献鸟了吗?它就在 https://www.storkapp.me/ 而它的说话本领可以到 https://www.storkapp.me/marketing/templates/Stork1/listen.php 了解。
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