Jain, NamanNamanJainSingh, MayankMayankSingh2025-08-312025-08-312021-01-01[9781665417709]10.1109/JCDL52503.2021.000552-s2.0-85124221956https://d8.irins.org/handle/IITG2025/26371Nowadays, researchers have moved to platforms like Twitter to spread information about their ideas and empirical evidence. Recent studies have shown that social media affects the scientific impact of a paper. However, these studies only utilize the tweet counts to represent Twitter activity. In this paper, we propose TweetPap, a large-scale dataset that introduces temporal information of citation/tweets and the metadata of the tweets to quantify and understand the discourse of scientific papers on social media.falseConference Paper328-32920212cpConference Proceeding1