Article in Molecules (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.2field-weighted citation impact, top 25% 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
1 citing paper in PubMed, 4 citations in OpenAlex.
Molecules (Basel, Switzerland) · 2024
Article
4 · The record
Corrections and comments
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
10 authors at 2 institutions in 1 country.
Qiulin LiDepartment of Chemistry and Chemical Engineering, Xi'an University of Science & Technology, Xi'an 710054, China.ORCID 0000-0002-2926-4566
Yawen YangDepartment of Chemistry and Chemical Engineering, Xi'an University of Science & Technology, Xi'an 710054, China.
Qingfeng WangDepartment of Chemistry and Chemical Engineering, Xi'an University of Science & Technology, Xi'an 710054, China.
Xiang HanDepartment of Chemistry and Chemical Engineering, Xi'an University of Science & Technology, Xi'an 710054, China.
Junfeng ZhuSchool of Food and Biological Engineering, Shaanxi University of Science & Technology, Xi'an 710021, China.ORCID 0000-0002-5262-9092
Nan ZhangDepartment of Chemistry and Chemical Engineering, Xi'an University of Science & Technology, Xi'an 710054, China.
Qiuhong WangDepartment of Safety Science and Engineering, Xi'an University of Science & Technology, Xi'an 710054, China.
Kanshe LiDepartment of Chemistry and Chemical Engineering, Xi'an University of Science & Technology, Xi'an 710054, China.
Pin GongSchool of Food and Biological Engineering, Shaanxi University of Science & Technology, Xi'an 710021, China.
Fuxin ChenDepartment of Chemistry and Chemical Engineering, Xi'an University of Science & Technology, Xi'an 710054, China.ORCID 0000-0002-5384-7825
Xi'an University of Science and Technology · CNShaanxi University of Science and Technology · CN
Funding
China Postdoctoral Science Foundation No.2020M673610XBNational Natural Science Fundamental Project No.22205180National Natural Science Fundamental Project No. 32202164Scientific Research Program Funded by Shaanxi Provincial Education Department No.21JK0772Shaanxi Natural Science Foundation 2021JQ556Xi'an Science and Technology Plan Project 23NYGG-0068
6 · The paper itself
Abstract
This article applies nuclear magnetic resonance technology to the study of boron-containing traditional Chinese medicine, in order to explore the morphological evolution of boron elements in traditional Chinese medicine. Borax is a traditional Chinese medicine with anti-corrosion, anti-inflammatory, antibacterial, and anticonvulsant effects. It is made by boiling, removing stones, and drying borax minerals like borate salts. This article introduces an
Indexed as
BoratesBoronMagnetic Resonance SpectroscopyMedicine, Chinese TraditionalBoratesboraxBoron11B NMRboraxboric acidboron-containing compoundboron-containing TCM
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.