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X Demographics
Mendeley readers
Attention Score in Context
| Title |
AZOrange - High performance open source machine learning for QSAR modeling in a graphical programming environment
|
|---|---|
| Published in |
Journal of Cheminformatics, July 2011
|
| DOI | 10.1186/1758-2946-3-28 |
| Pubmed ID | |
| Authors |
Jonna C Stålring, Lars A Carlsson, Pedro Almeida, Scott Boyer |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 50% |
| Japan | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 4% |
| Germany | 2 | 2% |
| Kenya | 1 | 1% |
| Sweden | 1 | 1% |
| Iran, Islamic Republic of | 1 | 1% |
| Slovenia | 1 | 1% |
| Russia | 1 | 1% |
| Unknown | 73 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 32 | 39% |
| Student > Ph. D. Student | 13 | 16% |
| Other | 9 | 11% |
| Student > Master | 8 | 10% |
| Student > Postgraduate | 5 | 6% |
| Other | 9 | 11% |
| Unknown | 7 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 26 | 31% |
| Computer Science | 14 | 17% |
| Agricultural and Biological Sciences | 6 | 7% |
| Engineering | 5 | 6% |
| Biochemistry, Genetics and Molecular Biology | 5 | 6% |
| Other | 17 | 20% |
| Unknown | 10 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 13 August 2018.
All research outputs
#2,182,174
of 25,837,817 outputs
Outputs from Journal of Cheminformatics
#181
of 984 outputs
Outputs of similar age
#10,079
of 133,551 outputs
Outputs of similar age from Journal of Cheminformatics
#1
of 11 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 984 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has done well, scoring higher than 81% 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 133,551 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 91% of its contemporaries.
We're also able to compare this research output to 11 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 90% of its contemporaries.