DOI: https://doi.org/10.22263/2312-4156.2026.3.29
Е.А. Polyakova1,2
Scientific productivity as a phenotype: analysis of researcher efficiency factors (literature review)
1Belarusian Research Center for Pediatric Oncology and Hematology, Minsk, Republic of Belarus
2Belarusian State Medical University, Minsk, Republic of Belarus
Vestnik VGMU. 2026;25(3):29-38.
Abstract.
Science is a key driver of societal progress, making research productivity a critical resource for development. In a context of global competition and information overload, the challenge of increasing scientific productivity is particularly pressing. Traditional quantitative metrics fail to capture the complex nature of research. Scientific productivity is conceptualized as a multidimensional phenotypic trait formed at the intersection of individual, organizational, and environmental factors. Sustainable research productivity is not reducible to innate abilities or the number of hours spent, but arises from the synergistic interaction of cognitive foundations, behavioral strategies, physiological basis, and the socio-institutional context. This issue is particularly significant in the training of young scientists: developing metacognitive skills and stress resilience is more important than mastering rapidly outdated methods. The lack of integrative conceptual frameworks that would unite disparate data on the determinants of research performance motivated the purpose of this study.
Keywords: scientific productivity, researcher effectiveness, productivity factors, cognitive abilities, psychological resilience, immunity to scientific turbulence.
References
1. Walker MP. Why we sleep: unlocking the power of sleep and dreams. New York: Scribner; 2017. 368 p.
2. De Young CG. Intelligence and personality. In: Sternberg RJ, Kaufman SB, ed. The Cambridge handbook of intelligence. Cambridge: Cambridge University Press; 2011. P. 1011-1047.
3. Sekerin VD, Goryainova AI, Semenova VV. Features of the work motivation of employees of generation Z. Vestnik Gosudarstvennogo Universiteta Prosveshcheniya. Seriya: Ekonomika. 2022;(4):69-75. (In Russ.). doi: http://dx.doi.org/10.18384/2310-6646-2022-4-69-75
4. Twenge JM. iGen: why today’s super-connected kids are growing up less rebellious, more tolerant, less happy and completely unprepared for adulthood. New York: Atria; 2017. 342 p.
5. Benítez-Márquez MD, Sánchez-Teba EM, Bermúdez-González G, Núñez-Rydman ES. Generation Z within the workforce and in the workplace: a bibliometric analysis. Frontiers in Psychology. 2022;12:736820. doi: http://dx.doi.org/10.3389/fpsyg.2021.736820
6. Morgan AC, Way SF, Hoefer MJD, Larremore DB, Galesic M, Clauset A. The unequal impact of parenthood in academia. Science Advances. 2021;7(9):eabd1996. doi: http://dx.doi.org/10.1126/sciadv.abd1996
7. Awada M, Becerik-Gerber B, Lucas G, Roll SC. Predicting office workers’ productivity: a machine learning approach integrating physiological, behavioral, and psychological indicators. Sensors. 2023;23(21):8694. doi: http://dx.doi.org/10.3390/s23218694
8. Beklaryan LA, Davydov DV, Dementyev VE, Makarov VL, Vinokurova NA, Grebennikov VG, i dr. Naucometry and its impact on the development of modern science. Voprosy Innovatsionnoi Ekonomiki. 2019;9(1):11-36. (In Russ.).
9. Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ. 2021;372(71):1-9. doi: http://dx.doi.org/10.1136/bmj.n71
10. Abramo G, D’Angelo CA. How do you define and measure research productivity? Scientometrics. 2014;101(2):1129-1144. doi: http://dx.doi.org/10.1007/s11192-014-1269-8
11. Fursov KS, Roshchina YaM, Balmush O. Science impact factors: micro-level analysis. Forsait. 2016;10(2):44-56. (In Russ.). doi: http://dx.doi.org/10.17323/1995-459X.2016.2.44.56
12. Temnitskiy AL. Motivation and the problem of productivity of scientific activities of Russian scientists. Sotsiologicheskie Issledovaniya. 2024;(3):28-43. (In Russ.). doi: http://dx.doi.org/10.31857/S0132162524030033
13. Plomin R, Deary IJ. Genetics and intelligence differences: five special findings. Molecular Psychiatry. 2015 Feb;20(1):98-108. doi: http://dx.doi.org/10.1038/mp.2014.105
14. Briley DA, Tucker-Drob EM. Comparing the developmental genetics of cognition and personality over the life span. Journal of Personality. 2017 Feb;85(1):51-64. doi: http://dx.doi.org/10.1111/jopy.12186
15. Xiong M, Chan NN, Wong BE, Xie X, Na M. Investigating cognitive flexibility and innovation in interdisciplinary project-based learning: the role of openness to learning and peer feedback quality in vocational education. Frontiers in Psychology. 2025 Nov:16:1691422. doi: http://dx.doi.org/10.3389/fpsyg.2025.1691422
16. Simonton DK. Creativity in science: chance, logic, genius, and zeitgeist. Cambridge: Cambridge University Press; 2004. 234 p.
17. Feist GJ. The Psychology of Science and the Origins of the Scientific Mind. New Haven: Yale University Press; 2008. 316 p.
18. Stern S. Do scientists pay to be scientists? Management Science. 2004 Jun;50(6):835-853.
19. Ryan RM, Deci EL. Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist. 2000 Jan;55(1):68-78. doi: http://dx.doi.org/10.1037//0003-066x.55.1.68
20. Fox MF, Mohapatra S. Social-organizational characteristics of work and publication productivity among academic scientists in doctoral-granting departments. Journal of Higher Education. 2007;78(5):542-571. doi: http://dx.doi.org/10.1353/jhe.2007.0032
21. Stephan PE. How economics shapes science. Cambridge (MA): Harvard University Press; 2015. 384 p.
22. Latour B, Woolgar S. Laboratory life: the construction of scientific facts. Princeton: Princeton University Press; 1986. 296 p.
23. Newport C. Deep Work: Rules for Focused Success in a Distracted World. New York: Grand Central Publishing; 2016. 304 p.
24. Franssila H. Work fragmentation, task management practices and productivity in individual knowledge work. In: Harris D, eds. Engineering psychology and cognitive ergonomics: 16th International Conference, EPCE 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Orlando, FL, USA, July 26–31, 2019, Proceedings. Springer; 2019. Vol 11571. P. 29-38. doi: http://dx.doi.org/10.1007/978-3-030-22507-0_3
25. Mazid A, Samantaray NN, Moirangthem S. How deep work drives student engagement amid smartphone distraction and attention control: a mediation-moderation analysis. Psychological Reports. 2025:332941251377396. doi: http://dx.doi.org/10.1177/00332941251377396
26. Wirnitzer KC, Motevalli M, Tanous DR, Wirnitzer G, Wagner KH, Schätzer M, et al. A glimpse of academic staff health behavior on diet type and physical activity at Austrian universities: first findings from the «Sustainably Healthy – From Science 2 Highschool& University» study. Frontiers in Public Health. 2023;11:1194602. doi: http://dx.doi.org/10.3389/fpubh.2023.1194602
27. Lim J, Dinges DF. Sleep deprivation and vigilant attention. Annals of the New York Academy of Sciences. 2008:1129:305-22. doi: http://dx.doi.org/10.1196/annals.1417.002
28. Flyer-Adams JG, Rivera-Rodriguez EJ, Yu J, Mardovin JD, Reed ML, Griffith LC. Regulation of olfactory associative memory by the circadian clock output signal pigment-dispersing factor (pdf). Journal of Neuroscience. 2020;40(4):9066-9077. doi: http://dx.doi.org/10.1523/JNEUROSCI.0782-20.2020
29. Sun J. Grit and resilience as predictors of creativity among chinese english as a foreign language teachers. Frontiers in Psychology. 2022;13:923313. doi: http://dx.doi.org/10.3389/fpsyg.2022.923313
30. Singh B, Mellow M, Bennett H, Dumuid D, Curtis R, Ferguson T, et al. Effectiveness of exercise for improving cognition, memory and executive function: a systematic umbrella review and meta-meta-analysis. British Journal of Sports Medicine. 2025 Jun;59(12):866-876. doi: http://dx.doi.org/10.1136/bjsports-2024-108589
31. Lima AR, Williams BJ, Bullock B. The effect of sleep deprivation on creative cognition: a systematic review of experiment-based research. Creativity Research Journal. 2025;37(4):712-722. doi: http://dx.doi.org/10.1080/10400419.2024.2343508
32. Mark G, Iqbal ST, Czerwinski M, Johns P, Sano A. Neurotics can’t focus: an in situ study of online multitasking in the workplace. In: Proceedings of the 2016 CHI conference on human factors in computing systems. New York: ACM; 2016. P. 1739-1744. doi: http://dx.doi.org/10.1145/2858036.2858204
33. Prilepko YuV, Kozlovskaya OV. Digital detachments as a way to overcome identity information overload. Vestnik Severo-Kavkazskogo Federal’nogo Universiteta. 2021;(4):180-188. (In Russ.). doi: http://dx.doi.org/10.37493/2307-907X.2021.4.23
34. Reed JM, Wolfe BE, Romero LM. Is resilience a unifying concept for the biological sciences? iScience. 2024 Apr;27(5):109478. doi: http://dx.doi.org/10.1016/j.isci.2024.109478
35. Martin AJ, Marsh HW. Academic resilience and academic buoyancy: Multidimensional and hierarchical conceptual framing of causes, correlates and cognate constructs. Oxford Review of Education. 2009;35(3):353-370. doi: http://dx.doi.org/10.1080/03054980902934639
36. Bretscher P. Information overload and resilience in facing foundational issues. Proceedings of the National Academy of Sciences. 2022 Mar;119(9):e2120180119. doi: http://dx.doi.org/10.1073/pnas.2120180119
37. Credé M, Tynan MC, Harms PD. Much ado about grit: A meta-analytic synthesis of the grit literature. Journal of Personality and Social Psychology. 2017 Sep;113(3):492-511. doi: http://dx.doi.org/10.1037/pspp0000102
38. Kachko DS. The impact of emotional burnout on students’ motivation to study. Ogarev-Online. 2021;(16 (169)). URL: https://cyberleninka.ru/article/n/vliyanie-emotsionalnogo-vygoraniya-na-uchebnuyu-motivatsiyu-studentov [Accessed 09th June 2026]. (In Russ.).
39. Van den Broeck A, Ferris DL, Chang CH, Rosen CC. A review of self-determination theory’s basic psychological needs at work. Journal of Management. 2016 Jul;42(5):1195-1229. DOI: HTTP://DX.DOI.ORG/10.1177/0149206316632058
Submitted 11.03.2026
Accepted 19.06.2026
Information about authors:
Еkaterina А. Polyakova – Candidate of Biological Sciences, associate professor of the Chair of Pediatric Endocrinology, Clinical Genetics, and Immunology with a course of advanced training and retraining, Belarusian State Medical University; head of the laboratory of Belarusian Research Center for Pediatric Oncology and Hematology, https://orcid.org/0000-0002-0706-6622, e-mail: Этот адрес электронной почты защищён от спам-ботов. У вас должен быть включен JavaScript для просмотра..
