You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Attention Score in Context
| Title |
Use of historic metabolic biotransformation data as a means of anticipating metabolic sites using MetaPrint2D and Bioclipse
|
|---|---|
| Published in |
BMC Bioinformatics, July 2010
|
| DOI | 10.1186/1471-2105-11-362 |
| Pubmed ID | |
| Authors |
Lars Carlsson, Ola Spjuth, Samuel Adams, Robert C Glen, Scott Boyer |
| Abstract |
Predicting metabolic sites is important in the drug discovery process to aid in rapid compound optimisation. No interactive tool exists and most of the useful tools are quite expensive. |
Mendeley readers
The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 6 | 6% |
| Sweden | 3 | 3% |
| United States | 3 | 3% |
| Netherlands | 2 | 2% |
| United Kingdom | 2 | 2% |
| Bulgaria | 1 | 1% |
| Denmark | 1 | 1% |
| Mexico | 1 | 1% |
| Unknown | 77 | 80% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 25 | 26% |
| Researcher | 23 | 24% |
| Student > Bachelor | 9 | 9% |
| Professor > Associate Professor | 8 | 8% |
| Other | 7 | 7% |
| Other | 19 | 20% |
| Unknown | 5 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 36 | 38% |
| Agricultural and Biological Sciences | 18 | 19% |
| Pharmacology, Toxicology and Pharmaceutical Science | 9 | 9% |
| Computer Science | 8 | 8% |
| Biochemistry, Genetics and Molecular Biology | 6 | 6% |
| Other | 11 | 11% |
| Unknown | 8 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 25 May 2022.
All research outputs
#3,145,320
of 22,707,247 outputs
Outputs from BMC Bioinformatics
#1,148
of 7,255 outputs
Outputs of similar age
#12,263
of 93,509 outputs
Outputs of similar age from BMC Bioinformatics
#9
of 66 outputs
Altmetric has tracked 22,707,247 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,255 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 84% 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 93,509 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 86% of its contemporaries.
We're also able to compare this research output to 66 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.