2.56 36 249.65 12.03 36 21.47 4.14 36 4.31 90.1 40 90.90 3.5 40 4.63 23.19 32 26.70 55.72 36 107.98 18.03 36 60.23 3.61 36 5.47 163.57 94 264.41 10.48 94 24.11 71.04 86 138.18 98.36 107 166.58 13.80 107 19.28 5.84 107 7.88 104.55 40 92.01 5.53 40 6.39 36.13 32 51.27 71.35 46 103.99 23.94 46 42.86 7.00 46 11.98 Likes Comments Shares Click-Throughs Avg. Visit Duration (s) Retention Rate ( )doi:10.1371/journal.pone.0156409.tPlatforms, Item Types, and the Interactions Between ThemOverall, the most popular behaviour on different item types was likes on “Wow” items (285.93 IPI, SD 703.74). “Wow” items also get AZD-8055 received relatively many click-throughs (142.56 IPI, SD 249.65) and shares (115.88 IPI, SD 244.12). Other notable behaviours include likes on “News” items (163.57 IPI, SD 264.41), click-throughs on “News” items” (98.36 IPI, SD 166.58), and likes on GWII items (104.55 IPI, SD 92.01) (Table 7). A series of ANOVA tests revealed different combined effects of social media platforms and item types on different user behaviours. Likes. There was a significant interaction between Disitertide clinical trials platform and item type on the number of likes per user (F (12,194) = 3.46, p < 0.001). Especially, it seems that the combined effect of Wow images and the Instagram platform yields many more likes than any other combination of platform and item type (Fig 3A). Visit duration and retention rate. There was a significant interaction between platform and item type on the average visit duration (per user) (F (9, 209) = 2.629, p < 0.01) and on retention rate (F(9, 209) = 2.075, p < 0.05). Among users who clicked on links, Twitter French users uniquely tended to spend much more time on pages that Guess What It Is links led to than any other user on any other platform or item type (Fig 3B). This interaction is also reflected in retention rate data (Fig 3C). Comments. In the case of comments, platform has a significant effect on user behaviour, but item type does not. For example, platform was found to have a significant effect on the number of comments (per user) (F (4,12) = 31.684, p < 0.001). Post-hoc tests revealed that Instagram had significantly more comments (per user) than any other platform (p < 0.001). However, no significant effect of item type on comments (per user) was found, nor was a significant interaction of platform and item type found.PLOS ONE | DOI:10.1371/journal.pone.0156409 May 27,11 /Engagement with Particle Physics on CERN's Social Media PlatformsFig 3. Interactions between likes, visit durations and retention rates, by platform and item type. (A) Likes per item per 1,000 followers, by platform and item type. (B) Visit durations (C) Retention rates, by platform and item type. Y-axes show estimated marginal means, which reflect main effects, while controlling for other effects. GWII: Guess What It Is. TBT: Throwback Thursday. doi:10.1371/journal.pone.0156409.gClick-throughs. Similar to commenting, platform was found to have a significant effect on clicking on links (F (3, 209) = 6.956, p < 0.001). Post-hoc tests revealed that on average, links on Google+ received more click-throughs (per user) than links on Facebook or Twitter (p < 0.05). However, no significant effect of item type on click-throughs (per user) was found, nor of the interaction between platform and item type. Sharing. Last but not least, sharing was found to be a unique behaviour in this study, in that no significant effects of item type or platform on shares (per user) were found.Characterizin.2.56 36 249.65 12.03 36 21.47 4.14 36 4.31 90.1 40 90.90 3.5 40 4.63 23.19 32 26.70 55.72 36 107.98 18.03 36 60.23 3.61 36 5.47 163.57 94 264.41 10.48 94 24.11 71.04 86 138.18 98.36 107 166.58 13.80 107 19.28 5.84 107 7.88 104.55 40 92.01 5.53 40 6.39 36.13 32 51.27 71.35 46 103.99 23.94 46 42.86 7.00 46 11.98 Likes Comments Shares Click-Throughs Avg. Visit Duration (s) Retention Rate ( )doi:10.1371/journal.pone.0156409.tPlatforms, Item Types, and the Interactions Between ThemOverall, the most popular behaviour on different item types was likes on "Wow" items (285.93 IPI, SD 703.74). "Wow" items also received relatively many click-throughs (142.56 IPI, SD 249.65) and shares (115.88 IPI, SD 244.12). Other notable behaviours include likes on "News" items (163.57 IPI, SD 264.41), click-throughs on "News" items" (98.36 IPI, SD 166.58), and likes on GWII items (104.55 IPI, SD 92.01) (Table 7). A series of ANOVA tests revealed different combined effects of social media platforms and item types on different user behaviours. Likes. There was a significant interaction between platform and item type on the number of likes per user (F (12,194) = 3.46, p < 0.001). Especially, it seems that the combined effect of Wow images and the Instagram platform yields many more likes than any other combination of platform and item type (Fig 3A). Visit duration and retention rate. There was a significant interaction between platform and item type on the average visit duration (per user) (F (9, 209) = 2.629, p < 0.01) and on retention rate (F(9, 209) = 2.075, p < 0.05). Among users who clicked on links, Twitter French users uniquely tended to spend much more time on pages that Guess What It Is links led to than any other user on any other platform or item type (Fig 3B). This interaction is also reflected in retention rate data (Fig 3C). Comments. In the case of comments, platform has a significant effect on user behaviour, but item type does not. For example, platform was found to have a significant effect on the number of comments (per user) (F (4,12) = 31.684, p < 0.001). Post-hoc tests revealed that Instagram had significantly more comments (per user) than any other platform (p < 0.001). However, no significant effect of item type on comments (per user) was found, nor was a significant interaction of platform and item type found.PLOS ONE | DOI:10.1371/journal.pone.0156409 May 27,11 /Engagement with Particle Physics on CERN's Social Media PlatformsFig 3. Interactions between likes, visit durations and retention rates, by platform and item type. (A) Likes per item per 1,000 followers, by platform and item type. (B) Visit durations (C) Retention rates, by platform and item type. Y-axes show estimated marginal means, which reflect main effects, while controlling for other effects. GWII: Guess What It Is. TBT: Throwback Thursday. doi:10.1371/journal.pone.0156409.gClick-throughs. Similar to commenting, platform was found to have a significant effect on clicking on links (F (3, 209) = 6.956, p < 0.001). Post-hoc tests revealed that on average, links on Google+ received more click-throughs (per user) than links on Facebook or Twitter (p < 0.05). However, no significant effect of item type on click-throughs (per user) was found, nor of the interaction between platform and item type. Sharing. Last but not least, sharing was found to be a unique behaviour in this study, in that no significant effects of item type or platform on shares (per user) were found.Characterizin.
