| Rank | Article | Tweets | Tweets per MonthA |
Tweets Influence FactorB |
Twimpact Factor (tw7)C | Twindex7D | |||||||
| 461 |
|
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8 | 0.47 | 19.00 | 5 | 0 | ||||||
| 462 |
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8 | 0.43 | 19.00 | 8 | 20 | ||||||
| 463 |
|
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8 | 0.39 | 10.00 | 7 | 0 | ||||||
| 464 |
|
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8 | 0.37 | 11.00 | 8 | 25 | ||||||
| 465 |
|
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8 | 0.32 | 12.00 | 5 | 10 | ||||||
| 466 |
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8 | 0.28 | 39.00 | 8 | 75 | ||||||
| 467 |
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8 | 0.24 | 37.00 | 8 | 20 | ||||||
| 468 |
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8 | 0.19 | 7.00 | 5 | 25 | ||||||
| 469 |
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8 | 0.18 | 47.00 | 7 | 65 | ||||||
| 470 |
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8 | 0.16 | 30.00 | 3 | 95 | ||||||
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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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