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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Bioinspired iterative synthesis of polyketides
|
|---|---|
| Published in |
Frontiers in Chemistry, May 2015
|
| DOI | 10.3389/fchem.2015.00032 |
| Pubmed ID | |
| Authors |
Kuan Zheng, Changmin Xie, Ran Hong |
| Abstract |
Diverse array of biopolymers and second metabolites (particularly polyketide natural products) has been manufactured in nature through an enzymatic iterative assembly of simple building blocks. Inspired by this strategy, molecules with inherent modularity can be efficiently synthesized by repeated succession of similar reaction sequences. This privileged strategy has been widely adopted in synthetic supramolecular chemistry. Its value also has been reorganized in natural product synthesis. A brief overview of this approach is given with a particular emphasis on the total synthesis of polyol-embedded polyketides, a class of vastly diverse structures and biologically significant natural products. This viewpoint also illustrates the limits of known individual modules in terms of diastereoselectivity and enantioselectivity. More efficient and practical iterative strategies are anticipated to emerge in the future development. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 33% |
| Switzerland | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 24% |
| Student > Bachelor | 5 | 14% |
| Student > Postgraduate | 3 | 8% |
| Professor | 3 | 8% |
| Researcher | 3 | 8% |
| Other | 3 | 8% |
| Unknown | 11 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 15 | 41% |
| Agricultural and Biological Sciences | 7 | 19% |
| Biochemistry, Genetics and Molecular Biology | 2 | 5% |
| Chemical Engineering | 1 | 3% |
| Immunology and Microbiology | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 10 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 06 July 2015.
All research outputs
#15,740,207
of 25,374,917 outputs
Outputs from Frontiers in Chemistry
#1,085
of 6,765 outputs
Outputs of similar age
#144,450
of 280,403 outputs
Outputs of similar age from Frontiers in Chemistry
#3
of 16 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,765 research outputs from this source. They receive a mean Attention Score of 2.4. This one has done well, scoring higher than 82% 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 280,403 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.