Article in Mikrochimica acta, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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.
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
6 authors.
Di ZhangState Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China.
Li HuangState Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China.
Bing LiuState Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China.
Qinyu GeState Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China.
Jian DongState Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China.
Xiangwei ZhaoState Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China. xwzhao@seu.edu.cn.
Funding
China Postdoctoral Science Foundation funded project 2018M642132Collaboration Research Fund of Southeast University and Nanjing Medical University 2242017K3DN26Fundamental Research Funds for the Central Universities N/AFundamental Research Project of Shenzhen Science & Technology Innovation Committee 201803063001075National Key Research and Development Program of China 2017YFA0205700National Key Research and Development Program of China 2018YFF0215200National Natural Science Foundation of China 21327902National Natural Science Foundation of China 61850410528National Natural Science Foundation of China 81827901Natural Science Foundation of Jiangsu Province BE2016002Natural Science Foundation of Jiangsu Province BK2014021828Natural Science Foundation of Jiangsu Province BK20170907Six Talent Peaks Project in Jiangsu Province (CN) N/A
6 · The paper itself
Abstract
A vertical flow microarray chip is described that uses core-shell SERS nanotags as tags for ultrasensitive quantification of the tumor markers α-fetoprotein (AFP) and carcinoembryonic antigen (CEA) by detecting the intensity of the specific Raman bands at 592 cm
Indexed as
Lab-On-A-Chip Devicesalpha-FetoproteinsAntibodies, ImmobilizedAntibodies, MonoclonalBiomarkers, TumorCarcinoembryonic AntigenCollodionGoldHumansImmunoassayLimit of DetectionMetal NanoparticlesMicrofluidic Analytical TechniquesSilverSpectrum Analysis, Ramanalpha-FetoproteinsAntibodies, ImmobilizedAntibodies, MonoclonalBiomarkers, TumorCarcinoembryonic AntigenCollodionGoldSilverAFPBroad linear dynamic rangeCEAGoldNile blue APOCTPortable Raman spectrometerSilverTumor biomarkers
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.
A vertical flow microarray chip based on SERS nanotags for rapid and ultrasensitive quantification of α-fetoprotein and carcinoembryonic antigen. · full record | OpenQuestion