| Rank | Article | Tweets | Tweets per MonthA |
Tweets Influence FactorB |
Twimpact Factor (tw7)C | Twindex7D | |||||||
| 11 |
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94 | 416.30 | 335.00 | 94 | 100 | ||||||
| 12 |
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194 | 107.39 | 332.00 | 86 | 95 | ||||||
| 13 |
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82 | 9.38 | 283.00 | 82 | 100 | ||||||
| 14 |
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102 | 112.93 | 174.00 | 81 | 100 | ||||||
| 15 |
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122 | 45.57 | 253.00 | 72 | 100 | ||||||
| 16 |
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90 | 45.74 | 115.00 | 71 | 90 | ||||||
| 17 |
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118 | 7.82 | 338.00 | 67 | 100 | ||||||
| 18 |
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121 | 4.32 | 367.00 | 66 | 100 | ||||||
| 19 |
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197 | 5.54 | 412.00 | 65 | 100 | ||||||
| 20 |
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72 | 18.00 | 108.00 | 61 | 100 | ||||||
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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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