Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.6field-weighted citation impact, top 17% of its field
1 · What the graph read from it
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registry
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
3 · Its place in the literature
Who cites it
4 citing papers in PubMed, 30 citations in OpenAlex.
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what money
Authors and funding
7 authors at 1 institution in 1 country.
Xing GuoMicroNano System Research Center, Key Lab of Advanced Transducers and Intelligent Control System of the Ministry of Education and College of Information and Computer, Taiyuan University of Technology, Jinzhong 030600, China.
Rong LiuMicroNano System Research Center, Key Lab of Advanced Transducers and Intelligent Control System of the Ministry of Education and College of Information and Computer, Taiyuan University of Technology, Jinzhong 030600, China.
Hongmei LiMicroNano System Research Center, Key Lab of Advanced Transducers and Intelligent Control System of the Ministry of Education and College of Information and Computer, Taiyuan University of Technology, Jinzhong 030600, China.
Jingzhe WangMicroNano System Research Center, Key Lab of Advanced Transducers and Intelligent Control System of the Ministry of Education and College of Information and Computer, Taiyuan University of Technology, Jinzhong 030600, China.
Zhongyun YuanMicroNano System Research Center, Key Lab of Advanced Transducers and Intelligent Control System of the Ministry of Education and College of Information and Computer, Taiyuan University of Technology, Jinzhong 030600, China.
Wendong ZhangMicroNano System Research Center, Key Lab of Advanced Transducers and Intelligent Control System of the Ministry of Education and College of Information and Computer, Taiyuan University of Technology, Jinzhong 030600, China.
Shengbo SangMicroNano System Research Center, Key Lab of Advanced Transducers and Intelligent Control System of the Ministry of Education and College of Information and Computer, Taiyuan University of Technology, Jinzhong 030600, China.
Taiyuan University of Technology · CN
Funding
Beijing Natural Science Foundation 7202190National key Research and development program 2019YFB1310200National Natural Science Foundation of China No. 51975400, 61703298, 61501316, 51505324Science and Technology Innovation Project for Outstanding Talents of Shanxi Province 201805D211020Science and Technology Innovation Project of Colleges and Universities in Shanxi Province 2020L0076
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.