Boom shake shake the room (JIF vs Total Citation)

Did you remember this post? We’re not complaining if you don’t.

But you remembered this one right. It’s by far the only rap song ever played in my Peugeot :).

 

Our on going results

So if you read this post, then you’ll understand: why we’re doing it, how, and what do we want to get. It’s about connecting the dots between Journal Impact Factor (JIF) and total citation of articles, on which many people say that publishing in high impact journal will likely to bring many citations to a paper. On the other side, we get the following argument, and this one, also this one, and also summarized in this one. Those arguments are just a few from list of articles that you can google yourselves.

Back to our project. The basis of this plots are the Google Scholar Classic Papers, which was posted by Google Scholar Team on June 14th, 2017. Apparently they made a list containing hundreds of paper, released in 2006 and then count their citations 10 years since they were published. Google had divided the papers in to following topics:

Basically we:

  • copied and pasted the list in topic no 1, 5, 7, and 8 to a table,
  • fill in the value of Impact Factor one by one (mostly 2016 JIF), then made some plots out of it.

You can see the plots on this Flickr page. We get weak correlations in each topic, but it may get stronger as we move in to sub topic, but please tell us what do you see. We are still working on the rest of the topics, so bare with us. While you’re at it, please read this article as well. :).

About Google Scholar

You might learn more by watching this video.

About the project

  • Project: Does JIF controls total citations?
  • Team member: Dini Sofiani Permatasari (LPPM ITB), Lusia Marliana Nurani (FSRD ITB), Ahmad Darul (ITSB)
  • Assistant: Annisa Aidina (ITB)
  • Related project: OpenPaleo (on Github)