Automated Author ProfileChen, Mengxin
Chen, Mengxin
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 2.6 (sum of 4 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Fig. 1 | Preparation and characterization of FeTeSe catalyst.Fig. 2 | Reaction-driven strain formation during alkaline NO3−RR.Fig. 3 | Origins and formation mechanisms of strains during alkaline NO3−RR.Fig. 4 | Nitrate reduction performance in 1 M KOH.Fig. 5 | Mechanism studies.Supplementary Figs.Supplementary Atomic Coordinates.
Authors
- Liu, Jiawei ;
- Xu, Yifan ;
- Duan, Ruihuan ;
- Zhang, Mingsheng ;
- Hu, Yue ;
- Chen, Mengxin ;
- Han, Bo ;
- Dong, Jinfeng ;
- Lee, Carmen ;
- Kumara, Loku Singgappulige Rosantha ;
- Seo, Okkyun ;
- Tseng, Jochi ;
- Watanabe, Takeshi ;
- Liu, Zheng ;
- Zhu, Qiang ;
- Xu, Jianwei ;
- Ng, Man-Fai ;
- Wu, Dongshuang ;
- Yan, Qingyu
Fig. 1 | Preparation and characterization of FeTeSe catalyst.Fig. 2 | Reaction-driven strain formation during alkaline NO3−RR.Fig. 3 | Origins and formation mechanisms of strains during alkaline NO3−RR.Fig. 4 | Nitrate reduction performance in 1 M KOH.Fig. 5 | Mechanism studies.Supplementary Figs.Supplementary Atomic Coordinates.
Authors
- Liu, Jiawei ;
- Xu, Yifan ;
- Duan, Ruihuan ;
- Zhang, Mingsheng ;
- Hu, Yue ;
- Chen, Mengxin ;
- Han, Bo ;
- Dong, Jinfeng ;
- Lee, Carmen ;
- Kumara, Loku Singgappulige Rosantha ;
- Seo, Okkyun ;
- Tseng, Jochi ;
- Watanabe, Takeshi ;
- Liu, Zheng ;
- Zhu, Qiang ;
- Xu, Jianwei ;
- Ng, Man-Fai ;
- Wu, Dongshuang ;
- Yan, Qingyu
Studies on aspirin’s effects on metabolic-associated fatty liver disease (MAFLD) are limited. The aim of this study was to assess the association between aspirin and all-cause and cardiovascular disease (CVD) mortality in individuals with MAFLD. Data were acquired from the National Health And Nutrition Examination Survey (NHANES) III. MAFLD diagnosis was consistent with that of international expert consensus. The independent association between aspirin and all-cause and CVD mortality in participants with MAFLD was evaluated by multiple Cox regression. Stratified analyses and interaction tests were performed to investigate whether covariates modified the association between aspirin and MAFLD mortality. Of 4594 eligible participants, 3,162 (68.83%) never took aspirin (0 times/month), 962 (20.94%) took it occasionally (1–14 times/month) and 470 (10.23%) took it regularly (≥15 times/month). Multiple cox regression showed that aspirin was not associated with overall mortality for MAFLD individuals. Stratified analysis revealed that in middle-aged (45–59 years) participants with MAFLD, occasional aspirin use was associated with low all-cause mortality risk (HR = 0.61, 95% CI = 0.43–0.86), while there was no significant association between aspirin and all-cause mortality among the young or the elderly. We found that the association between aspirin and all-cause MAFLD mortality varies by both age and frequency of administration. More prospective studies are needed to explore aspirin’s influence on MALFD mortality.
Authors
- Chen, Zhisheng ;
- Chen, Mengxin ;
- Zeng, Ping ;
- Yang, Xiaobo ;
- Li, Qian
Studies on aspirin’s effects on metabolic-associated fatty liver disease (MAFLD) are limited. The aim of this study was to assess the association between aspirin and all-cause and cardiovascular disease (CVD) mortality in individuals with MAFLD. Data were acquired from the National Health And Nutrition Examination Survey (NHANES) III. MAFLD diagnosis was consistent with that of international expert consensus. The independent association between aspirin and all-cause and CVD mortality in participants with MAFLD was evaluated by multiple Cox regression. Stratified analyses and interaction tests were performed to investigate whether covariates modified the association between aspirin and MAFLD mortality. Of 4594 eligible participants, 3,162 (68.83%) never took aspirin (0 times/month), 962 (20.94%) took it occasionally (1–14 times/month) and 470 (10.23%) took it regularly (≥15 times/month). Multiple cox regression showed that aspirin was not associated with overall mortality for MAFLD individuals. Stratified analysis revealed that in middle-aged (45–59 years) participants with MAFLD, occasional aspirin use was associated with low all-cause mortality risk (HR = 0.61, 95% CI = 0.43–0.86), while there was no significant association between aspirin and all-cause mortality among the young or the elderly. We found that the association between aspirin and all-cause MAFLD mortality varies by both age and frequency of administration. More prospective studies are needed to explore aspirin’s influence on MALFD mortality.
Authors
- Chen, Zhisheng ;
- Chen, Mengxin ;
- Zeng, Ping ;
- Yang, Xiaobo ;
- Li, Qian