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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Automated compound classification using a chemical ontology
|
|---|---|
| Published in |
Journal of Cheminformatics, December 2012
|
| DOI | 10.1186/1758-2946-4-40 |
| Pubmed ID | |
| Authors |
Claudia Bobach, Timo Böhme, Ulf Laube, Anett Püschel, Lutz Weber |
X Demographics
The data shown below were collected from the profiles of 8 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 | 1 | 13% |
| Japan | 1 | 13% |
| Germany | 1 | 13% |
| United States | 1 | 13% |
| Unknown | 4 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 75% |
| Scientists | 2 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 2 | 3% |
| Germany | 2 | 3% |
| Netherlands | 1 | 1% |
| Brazil | 1 | 1% |
| United Kingdom | 1 | 1% |
| Canada | 1 | 1% |
| Russia | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 64 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 23% |
| Researcher | 16 | 22% |
| Student > Master | 8 | 11% |
| Other | 7 | 9% |
| Student > Postgraduate | 4 | 5% |
| Other | 10 | 14% |
| Unknown | 12 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 18 | 24% |
| Agricultural and Biological Sciences | 18 | 24% |
| Computer Science | 10 | 14% |
| Biochemistry, Genetics and Molecular Biology | 5 | 7% |
| Engineering | 3 | 4% |
| Other | 7 | 9% |
| Unknown | 13 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 27 December 2022.
All research outputs
#1,646,706
of 24,143,470 outputs
Outputs from Journal of Cheminformatics
#130
of 891 outputs
Outputs of similar age
#15,334
of 288,190 outputs
Outputs of similar age from Journal of Cheminformatics
#5
of 21 outputs
Altmetric has tracked 24,143,470 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 891 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has done well, scoring higher than 85% 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 288,190 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 94% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.