| Rank | Article | Tweets | Tweets per MonthA |
Tweets Influence FactorB |
Twimpact Factor (tw7)C | Twindex7D | |||||||
| 21 |
|
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73 | 11.79 | 172.00 | 59 | 95 | ||||||
| 22 |
|
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63 | 12.36 | 180.00 | 57 | 90 | ||||||
| 23 |
|
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89 | 25.31 | 273.00 | 56 | 100 | ||||||
| 24 |
|
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92 | 1.96 | 311.00 | 55 | 100 | ||||||
| 25 |
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54 | 9.40 | 137.00 | 54 | 95 | ||||||
| 26 |
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68 | 3.87 | 129.00 | 52 | 100 | ||||||
| 27 |
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74 | 11.19 | 176.00 | 51 | 95 | ||||||
| 28 |
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73 | 12.64 | 122.00 | 51 | 95 | ||||||
| 29 |
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79 | 6.51 | 112.00 | 50 | 90 | ||||||
| 30 |
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60 | 2.21 | 144.00 | 50 | 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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