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| Title |
An efficient method for identifying natural common homoisoflavonoid by 1H-NMR
|
|---|---|
| Published in |
Journal of Asian Natural Products Research, April 2023
|
| DOI | 10.1080/10286020.2023.2190518 |
| Pubmed ID | |
| Authors |
Zun-Xi Ning, Xin-Xin Zhang, Wei Li, Xin-Yu Liu, Xiu-Yan Wei, Hui-Yuan Gao |
| Abstract |
Homoisoflavone contains 16 carbon atoms in the skeleton. The homoisoflavonoid skeleton from natural products can be roughly divided into 13 kinds, among which 5 kinds of common skeletons contain a large amount of compounds and 8 kinds of abnormal skeletons comprise a small amount of compounds. In this article, the structure identification experience of homoisoflavonoids found in Caesalpinia mimosoides was used as references and an efficient 1H NMR spectroscopic method for identifying homoisoflavonoid structure has been established. Using the chemical shift differences of H-2, 3, 4 and 9, the common natural homoisoflavonoids can be quickly and conveniently determined. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 April 2023.
All research outputs
#15,826,194
of 23,510,717 outputs
Outputs from Journal of Asian Natural Products Research
#167
of 427 outputs
Outputs of similar age
#124,867
of 233,197 outputs
Outputs of similar age from Journal of Asian Natural Products Research
#1
of 1 outputs
Altmetric has tracked 23,510,717 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 427 research outputs from this source. They receive a mean Attention Score of 1.8. This one has gotten more attention than average, scoring higher than 54% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 233,197 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them