January 2026
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Global Rank
#37,505
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Bounce Rate
35.96%
Pages per Visit
2.85
Avg Visit Duration
00:01:12
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Top 10 elementy.ru Competitors
The Top 10 Sites Like elementy.ru in January 2026 are ranked by their affinity to elementy.ru in terms of keyword traffic, audience targeting, and market overlap
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Global Rank
#3,822,274
258,118Bounce Rate
36.07%
Pages per Visit
2.81
Avg Visit Duration
00:02:35
Similarity Score
100%Российская академия наук: три века в поисках знаний Перспективные пути отечественной физики Рождение электрического хоррора
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Global Rank
#12,599,583
1,535,221Bounce Rate
40.64%
Pages per Visit
1.02
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100%zoom.cnews.ru - тесты и обзоры, каталог компьютерной, мобильной, фото и аудио техники, бытовой и кухонной техники, цены магазинов
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Bounce Rate
11.52%
Pages per Visit
1.97
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100%ПостНаука — все, что вы хотели знать о науке, но не знали, у кого спросить
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Global Rank
#1,908,760
946,930Bounce Rate
53.13%
Pages per Visit
1.98
Avg Visit Duration
00:01:32
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100%Ответы на вопросы на Авиасейлс
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98%Агентство 'ИнформНаука' распространяет научные новости о российской науке. Есть четыре рубрики: наука, технологии, медицина, события. Новости готовят корреспонденты агентства. The Science News Agency 'InformNauka' places a lot of interesting Russian science news. There are four headings: Science, Technology, Medicine, Events. The site is Russian-English.
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97%The banking system is a key sector of the economy and often faces various types of risks. This article focuses on credit risks, which are the main source of financial losses for credit institutions, including banks. Based on real data, a scoring model was developed in this study to assess and optimally manage credit risk, using the XGBoost machine learning algorithm. The model returns score values in the range of 300–850. Quality metrics such as ROC AUC, PR AUC, Precision, Recall, and F1 score were evaluated for the developed model. Within the scope of the research, a new approach was proposed to assess the sensitivity of a machine learning model to changes in variable values. The approach is based on the concept of entropy. The results show that the use of machine learning models makes it possible to assess and optimally manage credit risk, thereby reducing potential losses. Moreover, the proposed new approach, when applied together with the well-known SHAP method, allows for a deeper evaluation of the model and its sensitivity to changes in variable values.
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Bounce Rate
46.44%
Pages per Visit
2.78
Avg Visit Duration
00:03:33
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93%Журнал «TechInsider». Новости науки и техники, последние события: автомобили, технология, энергетика, авиация и космос. Интересные статьи об оружии, невероятные факты и удивительные научные изобретения.
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Bounce Rate
23.59%
Pages per Visit
4.30
Avg Visit Duration
00:03:07
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86%- Company
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Bounce Rate
90.16%
Pages per Visit
1.08
Avg Visit Duration
00:00:13
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85%elementy.ru's top 5 competitors in January 2026 are: scientific.ru, sciam.ru, scienceblog.ru, rnd.cnews.ru, and more.
According to Similarweb data of monthly visits, elementy.ru’s top competitor in January 2026 is scientific.ru. elementy.ru 2nd most similar site is sciam.ru, and closing off the top 3 is scienceblog.ru.
rnd.cnews.ru ranks as the 4th most similar website to elementy.ru and postnauka.ru ranks fifth in January 2026.
The other five competitors in the top 10 list are strf.ru, informnauka.ru, cyberleninka.ru, popmech.ru, and sci.aha.ru.