r/ScanSnap
ScanSnap
en
Discussion of Fujitsu ScanSnap scanners
Discussion of Fujitsu ScanSnap scanners
193
February 24, 2021
public
N/A
Total Submissions
106
Total Comments
266
Earliest Submission
February 24, 2021
Earliest Comment
April 2, 2021
Rank↕ | Word↕ | Occurrences in Subreddit | Total Occurrences | Rate in Subreddit (per 1M words) | Rate in Reddit (per 1M words) | Ratio (Sub Rate / Reddit Rate) |
|---|---|---|---|---|---|---|
| #1 | 50 | 17,426 | 1345.1 | 0.1 | 9256.89 | |
| #2 | 54 | 33,461 | 1452.7 | 0.3 | 5206.52 | |
| #3 | 205 | 412,450 | 5514.9 | 3.4 | 1603.52 | |
| #4 | 53 | 106,893 | 1425.8 | 0.9 | 1599.63 | |
| #5 | 41 | 99,479 | 1103.0 | 0.8 | 1329.67 | |
| #6 | 47 | 161,796 | 1264.4 | 1.3 | 937.18 | |
| #7 | 75 | 400,704 | 2017.6 | 3.3 | 603.85 | |
| #8 | 47 | 345,632 | 1264.4 | 2.9 | 438.71 | |
| #9 | 64 | 508,421 | 1721.7 | 4.2 | 406.12 | |
| #10 | 231 | 1,864,033 | 6214.4 | 15.5 | 399.81 | |
| #11 | 32 | 510,884 | 860.9 | 4.3 | 202.08 | |
| #12 | 44 | 756,695 | 1183.7 | 6.3 | 187.60 | |
| #13 | 66 | 1,630,952 | 1775.5 | 13.6 | 130.56 | |
| #14 | 85 | 2,112,467 | 2286.7 | 17.6 | 129.81 | |
| #15 | 222 | 6,773,826 | 5972.2 | 56.5 | 105.73 | |
| #16 | 84 | 2,580,563 | 2259.8 | 21.5 | 105.02 | |
| #17 | 79 | 2,858,229 | 2125.3 | 23.8 | 89.17 | |
| #18 | 57 | 2,256,829 | 1533.4 | 18.8 | 81.48 | |
| #19 | 64 | 2,569,083 | 1721.7 | 21.4 | 80.37 | |
| #20 | 144 | 6,395,551 | 3873.9 | 53.3 | 72.64 | |
| #21 | 56 | 2,744,762 | 1506.5 | 22.9 | 65.82 | |
| #22 | 55 | 3,016,909 | 1479.6 | 25.2 | 58.82 | |
| #23 | 51 | 2,808,600 | 1372.0 | 23.4 | 58.58 | |
| #24 | 75 | 4,958,667 | 2017.6 | 41.3 | 48.80 | |
| #25 | 62 | 4,380,738 | 1667.9 | 36.5 | 45.66 | |
| #26 | 45 | 3,234,520 | 1210.6 | 27.0 | 44.88 | |
| #27 | 84 | 7,215,553 | 2259.8 | 60.2 | 37.56 | |
| #28 | 69 | 6,134,091 | 1856.2 | 51.1 | 36.29 | |
| #29 | 85 | 7,750,568 | 2286.7 | 64.6 | 35.38 | |
| #30 | 42 | 4,054,220 | 1129.9 | 33.8 | 33.42 | |
| #31 | 37 | 6,306,097 | 995.4 | 52.6 | 18.93 | |
| #32 | 44 | 8,707,453 | 1183.7 | 72.6 | 16.30 | |
| #33 | 82 | 16,965,764 | 2206.0 | 141.5 | 15.59 | |
| #34 | 75 | 16,467,657 | 2017.6 | 137.3 | 14.69 | |
| #35 | 194 | 44,373,461 | 5219.0 | 370.0 | 14.10 | |
| #36 | 52 | 12,537,746 | 1398.9 | 104.5 | 13.38 | |
| #37 | 48 | 11,904,673 | 1291.3 | 99.3 | 13.01 | |
| #38 | 79 | 25,983,398 | 2125.3 | 216.7 | 9.81 | |
| #39 | 30 | 10,062,951 | 807.1 | 83.9 | 9.62 | |
| #40 | 65 | 22,948,595 | 1748.6 | 191.4 | 9.14 | |
| #41 | 44 | 16,472,324 | 1183.7 | 137.4 | 8.62 | |
| #42 | 42 | 16,133,977 | 1129.9 | 134.5 | 8.40 | |
| #43 | 36 | 15,643,755 | 968.5 | 130.4 | 7.42 | |
| #44 | 30 | 13,163,263 | 807.1 | 109.8 | 7.35 | |
| #45 | 32 | 15,359,808 | 860.9 | 128.1 | 6.72 | |
| #46 | 36 | 17,329,377 | 968.5 | 144.5 | 6.70 | |
| #47 | 97 | 55,123,323 | 2609.5 | 459.6 | 5.68 | |
| #48 | 30 | 17,347,214 | 807.1 | 144.7 | 5.58 | |
| #49 | 32 | 18,943,290 | 860.9 | 158.0 | 5.45 | |
| #50 | 49 | 29,983,341 | 1318.2 | 250.0 | 5.27 |