Графические аннотации в научной публикации: теория и практика эффективного использования

В условиях стремительного роста объема научной информации графические аннотации (ГА) приобретают всё большее значение как инструмент краткой и наглядной презентации ключевых результатов исследования. В статье представлен анализ теоретических и практических аспектов подготовки графической аннотации. Особое внимание уделено современным требованиям к визуальному оформлению, типологии графических аннотаций, этапам создания графической аннотации. Прокомментированы как эмпирические данные об эффективности графических аннотаций (включая влияние на цитируемость и альтметрики), так и перспективы их развития (мультимедийные форматы, автоматизация с использованием инструментов искусственного интеллекта и институционализация стандартов). 

1. Atkinson, R.C., & Shiffrin, R.M. (1968). Human memory: A proposed system and its control processes. Psychology of Learning and Motivation, 2, 89–195. https://doi.org/10.1016/S0079-7421(08)60422-3

2. Bresciani, S., & Eppler, M. J. (2009). The Benefits of Synchronous Collaborative Information Visualization: Evidence from an Experimental Evaluation. IEEE Transactions on Visualization and Computer Graphics, 15(6), 1073–1080. https://doi.org/10.1109/tvcg.2009.188

3. Eppler, M. J., & Burkhard, R. A. (2007). Visual representations in knowledge management: framework and cases. Journal of Knowledge Management, 11(4), 112–122. https://doi.org/10.1108/13673270710762756

4. Evagorou, M., Erduran, S., & Mäntylä, T. (2015). The role of visual representations in scientific practices: From conceptual understanding and knowledge generation to “seeing” how science works. International Journal of STEM Education, 2(1), 11. https://doi.org/10.1186/s40594-015-0024-x

5. Hullman, J., & Diakopoulos, N. (2011). Visualization Rhetoric: Framing Effects in Narrative Visualization. IEEE Transactions on Visualization and Computer Graphics, 17(12), 2231–2240. https://doi.org/10.1109/tvcg.2011.255

6. Fay, N., Swoboda, N., Fukaya, T., Umata, I., Katagiri, Y. (2004). Using graphics to communicate across cultures. In A.F. Blackwell, K. Marriott, A. Shimojima (Eds.), Diagrammatic representation and inference. Lecture Notes in Computer Science, 2980. Springer. https://doi.org/10.1007/978-3-540-25931-2_36

7. Franconeri, S. L., Padilla, L. M., Shah, P., Zacks, J. M., & Hullman, J. (2021). The science of visual data communication: What works. Psychological Science in the Public Interest, 22(3), 110–161. https://doi.org/10.1177/15291006211051956

8. Ibrahim, A. M., Lillemoe, K. D., Klingensmith, M. E., & Dimick, J. B. (2017). Visual abstracts to disseminate research on social media. Annals of Surgery, 266(6), e46–e48. https://doi.org/10.1097/sla.0000000000002277

9. Jambor, H.K., & Bornhäuser, M. (2024). Ten simple rules for designing graphical abstracts. PLOS Computational Biology, 20(2), e1011789. https://doi.org/10.1371/journal.pcbi.1011789

10. Kim, Y., Lee, J., Yoo, J., Jung, E.-A., Kim, S. G., & Kim, Y.S. (2022). Seeing is believing: The effect of graphical abstracts on citations and social media exposure in Gastroenterology & Hepatology journals. Journal of Korean Medical Science, 37(45). https://doi.org/10.3346/jkms.2022.37.e321

11. Lee, J., & Yoo, J.-J. (2023). The current state of graphical abstracts and how to create good graphical abstracts. Science Editing, 10(1), 19–26. https://doi.org/10.6087/kcse.293

12. Lengler, R., & Eppler, M.J. (2007). Towards a periodic table of visualization methods of management. In Proceedings of the IASTED International Conference on Graphics and Visualization in Engineering (pp. 83-88). ACTA Press.

13. Li, Y., & Xie, Y. (2019). Is a picture worth a thousand words? an empirical study of image content and social media engagement. Journal of Marketing Research, 57(1), 1-19. https://doi.org/10.1177/0022243719881113

14. Mayer, R. E. (2009). Multimedia learning (2nd ed.). Cambridge University Press. https://doi.org/10.1017/CBO9780511811678

15. Midway, S. R. (2020). Principles of effective data visualization. Patterns, 1(9), 100141. https://doi.org/10.1016/j.patter.2020.100141

16. Pauwels, L. (Ed.). (2006). Visual cultures of science. Rethinking representational practices in knowledge building and science communication. Dartmouth College Press.

17. Peng, Sh., Bainbridge, W.A. (2024). Image memorability enhances social media virality. arXiv:2409.14659. https://doi.org/10.48550/arXiv.2409.14659

18. Potter, M. C., Wyble, B., Hagmann, C. E., & McCourt, E. S. (2014). Detecting meaning in RSVP at 13 ms per picture. Journal of Experimental Psychology: Human Perception and Performance, 40(2), 604–616. https://doi.org/10.1037/a0033899

19. Standing, L. (1973). Learning 10000 pictures. Quarterly Journal of Experimental Psychology, 25(2), 207-222. https://doi.org/10.1080/14640747308400340

20. Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive Science, 12(2), 257–285. https://doi.org/10.1207/s15516709cog1202_4

21. Vaghjiani, N.G., Lal, V., Vahidi, N, Ebadi, A., Carli, M., Sima, A., & Coelho, D. (2021). Social media and academic impact: Do early tweets correlate with future citations? Ear, Nose & Throat Journal, 103(2), 75-80. https://doi.org/10.1177/01455613211042113

22. de Winter, J. C. F. (2014). The relationship between tweets, citations, and article views for PLOS ONE articles. Scientometrics, 102(2), 1773–1779. https://doi.org/10.1007/s11192-014-1445-x

23. Yoon, J., & Chung, E. (2017). An investigation on Graphical Abstracts use in scholarly articles. International Journal of Information Management, 37(1), 1371–1379. https://doi.org/10.1016/j.ijinfomgt.2016.09.005