Circulating newly published papers allows for more exposure and has been linked to increased citations. And there have been a number of calls for establishing a ‘Twitter factor (t factor)’ that follows the popular h-index in aiming to measure both the number and citation impact of a scientist’s publications. This is another positive for the platform — it serves as a forum for users to connect freely with the wider community.
What is t factor?
Twitter factor (t factor) or Twitter impact factor (TIF) combines the following information: the number of tweets (Nt) published over a certain time period and the number of re-tweets for single tweet using the formula of the h-index.
Based on h-index TIF can be defined as: “A unit (single publication, journal, researcher, research group, etc.) has TIF t if t of its Nt tweets have at least t re-tweets each and the other (Nt-t) tweets have ≤t re-tweets each”.
The tweets, which are considered in the calculation of the TIF, contain a link to a single publication, the publications of a researcher, the publications of a research group, etc. –depending on the level of analysis.
Traditional scientometrics measures the impact of science based on citations of traditional, peer-reviewed sources such as journal articles, conference papers, and workshops. Anything that passes through the peer-review process is fair game for scientometric analysis.
Non-traditional sources, on the other hand, might include anything from citations in unpublished pre-prints of journal articles to an entry in a data set. Other nontraditional citations could include mentions in government white papers, policy papers or technical reports.
“Alternative metrics, or altmetrics, “is also the application of scientometrics and bibliometrics to non-traditional data sources, and the measuring of scientific impact from those sources.” Altmetrics might even capture downloads of an article based on a tweet of its DOI –or the mention of a scientist or scientific organization on social media.
Many are keen to make research visible and understandable to the wider community. For many, Twitter is one-step towards this goal, because it allows non-scientists to find new research instantaneously without having to seek it out on lab or university websites. Twitter also provides a ‘way in’ for members of the public who want to contact scientists directly.
So, Twitter, LinkedIn, Facebook, and Sina Weibo, etc., mentions are an important altmetric, a way of rigorously tracking the non-scholarly attention a paper receives.