
Twitter is an extraordinary microblogging tool used by millions of users regularly. Through its primary purpose is socially connecting users and helping them share their thoughts, it has become an excellent tool for aggregating research by researchers and academicians globally. The present study collates data from Twitter using #research shared on a particular date using data mining techniques. The collected data is analysed based on retweets for the country of origin, accompanying hashtags, and most popular tweets, and the content of the tweets is also analysed. It is astonishing that though there are 1584 unique tweets, only 425 are retweeted. There are about 274 retweets that are retweeted at least once, while there are only 4 retweets that are repeatedly shared by other users at least more than 10 times. The study investigates the usage of #research on Twitter to glean insight into the content of the majorly shared tweets.
Twitter; hashtags; research; retweets
Twitter; hashtags; research; retweets
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
