| Rank | Article | Tweets | Tweets per MonthA |
Tweets Influence FactorB |
Twimpact Factor (tw7)C | Twindex7D | |||||||
| 421 |
|
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9 | 0.34 | 21.00 | 8 | 35 | ||||||
| 422 |
|
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9 | 0.34 | 20.00 | 9 | 45 | ||||||
| 423 |
|
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9 | 0.33 | 11.00 | 7 | 45 | ||||||
| 424 |
|
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9 | 0.32 | 31.00 | 5 | 55 | ||||||
| 425 |
|
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9 | 0.32 | 32.00 | 4 | 45 | ||||||
| 426 |
|
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9 | 0.31 | 28.00 | 9 | 50 | ||||||
| 427 |
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9 | 0.26 | 28.00 | 8 | 20 | ||||||
| 428 |
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9 | 0.23 | 29.00 | 3 | 5 | ||||||
| 429 |
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9 | 0.22 | 32.00 | 4 | 15 | ||||||
| 430 |
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9 | 0.21 | 14.00 | 4 | 30 | ||||||
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Total Tweets
Tweets per Month Tweets Influence Factor Twimpact Factor (TWIF) tw7 Twindex7 A Tweets per month statistic may be artifically inflated for newly published articles B Tweets Influence Factor (TIF): number of tweets x avg. influence of tweeters (influence is determined by how often all tweets of that person are retweeted by others) C Twimpact Factor (TWIF) tw7: Number of mentionings in tweets (tweetations) within first 7 days after article publication (Eysenbach 2011) D Twindex7 (Eysenbach 2011): Rank percentile of this article when its twimpact factor (tw7) is compared to 19 previously published articles. Range 0-100, with higher scores reflecting higher impact on Twitter. Articles with a Twindex greater than 75 have a 75% chance of being highly cited (top quartile by citation), articles with a Twindex less than 75 have a 7% chance to be highly cited. * Tweets Data Collection began January 2008 |
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