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X Demographics
Mendeley readers
Attention Score in Context
| Title |
DOGS: Reaction-Driven de novo Design of Bioactive Compounds
|
|---|---|
| Published in |
PLoS Computational Biology, February 2012
|
| DOI | 10.1371/journal.pcbi.1002380 |
| Pubmed ID | |
| Authors |
Markus Hartenfeller, Heiko Zettl, Miriam Walter, Matthias Rupp, Felix Reisen, Ewgenij Proschak, Sascha Weggen, Holger Stark, Gisbert Schneider |
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 % |
|---|---|---|
| Japan | 1 | 33% |
| France | 1 | 33% |
| United States | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 247 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | <1% |
| India | 2 | <1% |
| Austria | 1 | <1% |
| Indonesia | 1 | <1% |
| Switzerland | 1 | <1% |
| Russia | 1 | <1% |
| Spain | 1 | <1% |
| Japan | 1 | <1% |
| United States | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 236 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 54 | 22% |
| Student > Ph. D. Student | 50 | 20% |
| Student > Master | 44 | 18% |
| Student > Bachelor | 23 | 9% |
| Other | 12 | 5% |
| Other | 24 | 10% |
| Unknown | 40 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 85 | 34% |
| Pharmacology, Toxicology and Pharmaceutical Science | 28 | 11% |
| Agricultural and Biological Sciences | 24 | 10% |
| Biochemistry, Genetics and Molecular Biology | 20 | 8% |
| Computer Science | 19 | 8% |
| Other | 21 | 9% |
| Unknown | 50 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 05 August 2021.
All research outputs
#2,805,183
of 25,837,817 outputs
Outputs from PLoS Computational Biology
#2,487
of 9,035 outputs
Outputs of similar age
#16,291
of 169,879 outputs
Outputs of similar age from PLoS Computational Biology
#22
of 117 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,035 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has gotten more attention than average, scoring higher than 72% 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 169,879 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 89% of its contemporaries.
We're also able to compare this research output to 117 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.