QT captures a Twitter user's ability to compose messages that engages its audience. The higher your QT, the more likely that any of your followers will find your message of sufficient interest to retweet it to their followers. QT is independent of the follower number, allowing us to meaningfully compare engagement for accounts of widely different popularity.
In a recent Science paper, we showed that a scientist's ability to turn her ideas into impactful discoveries is captured by a single number, the Q-factor. The concept is described in Chapter 10 of The Formula: The Universal Laws of Success. The Q-factor, different for each researcher, is the best predictor of long-term scientific success, from citations to the chance of winning a Nobel Prize.
The qfactor.app allows anyone to check any Twitter user's QT by typing in a Twitter handle.
The highest detected QT is for the Korean boyband BTS
We are using Twitter's REST API to extract data on your behalf. Therfore, we need your permission to connect to Twitter to request and analyze the most recent tweets for the accounts you are curious about. We do not collect data specific to your account, but only request publicly available information on the accounts whose handle you type into the search bar.
QT was developed by Onur Varol (
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By analyzing millions of Twitter careers, we find that each Twitter user has a unique QT-factor, that measures her ability to turn her insights into messages that engage her followers. QT has several key properties:
We often see, particularly in the case of celebrities and major brands, that they amass exceptional follower numbers, the messages they put out do not resonate with their followers. If you want to evaluate the influence of a Twitter user, it is not enough to inspect the follower count, one also needs to look at engagement.
It is not. We find that the more followers an account has, the less engagement it generates per followers. In other words, followers of smaller accounts are more likely to engage them those of larger accounts. Hence retweet number alone is not a meaningful way to measure influence. The Q-factor is designed to correct for these saturation effects.
Compare, for example four accounts, with approximately same Q-factor (QT≈26): the singer
The Klout score, which was recently discontinued, captures a user's "influence" on Twitter. It depends on the number of followers a user has (its audience), and who these followers are. Yet, influence on Twitter has two different roots: visibility (follower number), and communication talent (the individual's ability to engage with his followers). Let us offer some examples: