| Title |
A ‘rule of 0.5’ for the metabolite-likeness of approved pharmaceutical drugs
|
|---|---|
| Published in |
Metabolomics, September 2014
|
| DOI | 10.1007/s11306-014-0733-z |
| Pubmed ID | |
| Authors |
Steve O′Hagan, Neil Swainston, Julia Handl, Douglas B. Kell |
X Demographics
The data shown below were collected from the profiles of 13 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 States | 3 | 23% |
| United Kingdom | 2 | 15% |
| Myanmar | 1 | 8% |
| South Africa | 1 | 8% |
| Unknown | 6 | 46% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 54% |
| Scientists | 3 | 23% |
| Science communicators (journalists, bloggers, editors) | 2 | 15% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | <1% |
| Switzerland | 1 | <1% |
| Indonesia | 1 | <1% |
| France | 1 | <1% |
| Brazil | 1 | <1% |
| United Kingdom | 1 | <1% |
| Belgium | 1 | <1% |
| China | 1 | <1% |
| Unknown | 127 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 27 | 20% |
| Student > Master | 19 | 14% |
| Student > Ph. D. Student | 17 | 13% |
| Student > Bachelor | 16 | 12% |
| Other | 7 | 5% |
| Other | 23 | 17% |
| Unknown | 26 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 32 | 24% |
| Agricultural and Biological Sciences | 16 | 12% |
| Biochemistry, Genetics and Molecular Biology | 15 | 11% |
| Pharmacology, Toxicology and Pharmaceutical Science | 12 | 9% |
| Computer Science | 8 | 6% |
| Other | 20 | 15% |
| Unknown | 32 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 56. 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 15 August 2022.
All research outputs
#746,483
of 25,250,629 outputs
Outputs from Metabolomics
#15
of 1,378 outputs
Outputs of similar age
#7,613
of 257,473 outputs
Outputs of similar age from Metabolomics
#2
of 27 outputs
Altmetric has tracked 25,250,629 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,378 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done particularly well, scoring higher than 98% 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 257,473 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.