deletions | additions       diff --git a/From_Figure_reffigdelay_span_twitter_it.tex b/From_Figure_reffigdelay_span_twitter_it.tex  index 37a070b..4a6a631 100644  --- a/From_Figure_reffigdelay_span_twitter_it.tex  +++ b/From_Figure_reffigdelay_span_twitter_it.tex 
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From Figure \ref{fig:delay_span_twitter}, 6(b),  it emerges that nearly 80\% of the articles in the corpus reach the peak of Twitter mention just one day after they are submitted, as is shown on the distribution of $\Theta_{\text{tw}}(a_i)$ curve ($x=2:y \simeq0.8$). Over 70\% articles reach the peak of Twitter mention within 5 days of submission ($x=5: y < 0.3$). However, the distribution of $\Delta_{\text{tw}}(a_i)$ curve shows that over 80\% of arXiv.org articles are mentioned one and one day only ($x=2: y<0.2$), i.e., one or multiple tweets about an article are posted within the time range of 24 hours and then are never mentioned again. Overall, compared with arXiv downloads, the Twitter response to scientific articles is typically swift, yet highly ephemeral, a pattern indicative of a process in which the news of a publication is quickly passed around and very little in-depth discussion taking place afterward.