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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A unified lead-oriented synthesis of over fifty molecular scaffolds
|
|---|---|
| Published in |
Organic and Biomolecular Chemistry, January 2015
|
| DOI | 10.1039/c4ob02287d |
| Pubmed ID | |
| Authors |
Richard G. Doveston, Paolo Tosatti, Mark Dow, Daniel J. Foley, Ho Yin Li, Amanda J. Campbell, David House, Ian Churcher, Stephen P. Marsden, Adam Nelson |
| Abstract |
Controlling the properties of lead molecules is critical in drug discovery, but sourcing large numbers of lead-like compounds for screening collections is a major challenge. A unified synthetic approach is described that enabled the synthesis of 52 diverse lead-like molecular scaffolds from a minimal set of 13 precursors. The divergent approach exploited a suite of robust, functional group-tolerant transformations. Crucially, after derivatisation, these scaffolds would target significant lead-like chemical space, and complement commercially-available compounds. |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 5 | 50% |
| New Zealand | 1 | 10% |
| United States | 1 | 10% |
| Unknown | 3 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 60% |
| Members of the public | 4 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| France | 1 | 1% |
| Unknown | 76 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 27% |
| Researcher | 14 | 18% |
| Student > Master | 12 | 15% |
| Student > Bachelor | 11 | 14% |
| Other | 4 | 5% |
| Other | 7 | 9% |
| Unknown | 9 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 58 | 74% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Agricultural and Biological Sciences | 2 | 3% |
| Computer Science | 2 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 12 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 14 February 2015.
All research outputs
#4,748,695
of 25,756,911 outputs
Outputs from Organic and Biomolecular Chemistry
#752
of 6,872 outputs
Outputs of similar age
#60,245
of 361,654 outputs
Outputs of similar age from Organic and Biomolecular Chemistry
#57
of 431 outputs
Altmetric has tracked 25,756,911 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,872 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 89% 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 361,654 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 431 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.