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doi: 10.5281/zenodo.12942
This dataset contains the data used in the paper Identifying and Analyzing Researchers on Twitter (http://dx.doi.org/10.1145/2615569.2615676). At the moment, this includes computer scientists, though an extension to other disciplines is planned. The data can be cited as follows: Asmelash Teka Hadgu and Robert Jäschke. 2014. Identifying and Analyzing Researchers on Twitter. In Proceedings of the 6th Annual ACM Web Science Conference (WebSci '14). 23-30. ACM, New York, NY, USA. DOI: 10.1145/2615569.2615676
Twitter Data
Twitter Data
| 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). | 1 | |
| 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 | 58 | |
| downloads | 35 |

Views provided by UsageCounts
Downloads provided by UsageCounts