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The data comprises one csv file named tweets. It has 168,677 tweets scraped with the help of snscrape spanning April 2022 to May 2023. Each entry contains metadata regarding the tweet and it's author. The tweets are curated to be representative of discourse regarding women in STEM. The search queries used while scraping are "womeninSTEM", "womeninTech", etc.
scraped, women in STEM, STEM, tweets
scraped, women in STEM, STEM, tweets
| 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 |
| views | 5 |

Views provided by UsageCounts