Table 2.
Top 20 terms with the highest citations per paper (CPP).
| Terma | n | CPP |
|---|---|---|
| Online community | 32 (1.2%) | 63.2 |
| Rise | 44 (1.7%) | 51.8 |
| Culture | 48 (1.9%) | 39.6 |
| Phenomenon | 52 (2.0%) | 39.6 |
| Marketing | 73 (2.8%) | 38.9 |
| Flub | 47 (1.8%) | 36.7 |
| Big data | 71 (2.7%) | 33.6 |
| Cost | 88 (3.4%) | 33.5 |
| Inclusion criterium | 29 (1.1%) | 32.7 |
| Social media activity | 28 (1.1%) | 32.5 |
| Adolescent | 37 (1.4%) | 32.2 |
| Social networking site | 77 (3.0%) | 29.3 |
| Social media site | 63 (2.4%) | 28.1 |
| Real time | 95 (3.7%) | 27.4 |
| Microblog | 39 (1.5%) | 27.1 |
| Influenzab | 81 (3.1%) | 26.4 |
| Citation | 49 (1.9%) | 26.3 |
| Interaction | 180 (7.0%) | 25.5 |
| Social | 31 (1.2%) | 25.5 |
| Social networking | 44 (1.7%) | 25.2 |
a
Only terms that appeared in at least 1% of the papers were considered.
b
The presence of the synonyms “Flu” and “Influenza” among the top 20 terms clearly indicates that this disease represents one of the most significant areas for Twitter-based medical research.