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Mendeley readers
Attention Score in Context
| Title |
CDK-Taverna: an open workflow environment for cheminformatics
|
|---|---|
| Published in |
BMC Bioinformatics, March 2010
|
| DOI | 10.1186/1471-2105-11-159 |
| Pubmed ID | |
| Authors |
Thomas Kuhn, Egon L Willighagen, Achim Zielesny, Christoph Steinbeck |
| Abstract |
Small molecules are of increasing interest for bioinformatics in areas such as metabolomics and drug discovery. The recent release of large open access chemistry databases generates a demand for flexible tools to process them and discover new knowledge. To freely support open science based on these data resources, it is desirable for the processing tools to be open source and available for everyone. |
Mendeley readers
The data shown below were compiled from readership statistics for 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 4% |
| United Kingdom | 4 | 4% |
| Netherlands | 2 | 2% |
| Portugal | 2 | 2% |
| Sweden | 2 | 2% |
| Austria | 1 | <1% |
| Australia | 1 | <1% |
| Bulgaria | 1 | <1% |
| Canada | 1 | <1% |
| Other | 5 | 4% |
| Unknown | 90 | 80% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 37 | 33% |
| Student > Ph. D. Student | 19 | 17% |
| Other | 13 | 12% |
| Student > Master | 11 | 10% |
| Student > Bachelor | 8 | 7% |
| Other | 19 | 17% |
| Unknown | 6 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 28 | 25% |
| Chemistry | 24 | 21% |
| Computer Science | 20 | 18% |
| Biochemistry, Genetics and Molecular Biology | 10 | 9% |
| Engineering | 5 | 4% |
| Other | 21 | 19% |
| Unknown | 5 | 4% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 18 July 2023.
All research outputs
#1,942,029
of 25,079,131 outputs
Outputs from BMC Bioinformatics
#420
of 7,644 outputs
Outputs of similar age
#6,789
of 101,507 outputs
Outputs of similar age from BMC Bioinformatics
#5
of 64 outputs
Altmetric has tracked 25,079,131 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,644 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 94% 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 101,507 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 93% of its contemporaries.
We're also able to compare this research output to 64 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 93% of its contemporaries.