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This dataset accompanies the article titled: "Can accurate demographic information about people who use prescription medications non-medically be derived from Twitter?" submitted to PNAS. See the README.txt file for more details.
machine learning, social media, substance use, toxicovigilance, natural language processing
Twitter Data
machine learning, social media, substance use, toxicovigilance, natural language processing
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). | 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 | 14 | |
| downloads | 4 |

Views provided by UsageCounts
Downloads provided by UsageCounts