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Mendeley readers
Attention Score in Context
| Title |
Welcome to Automated Experimentation: a new open access journal
|
|---|---|
| Published in |
Automated Experimentation, October 2009
|
| DOI | 10.1186/1759-4499-1-1 |
| Pubmed ID | |
| Authors |
David Robertson, Siu-wai Leung, Dietlind Gerloff |
| Abstract |
Modern experimental science provides more opportunities for yet larger series of experiments. Demand for experimental results also has become more diverse, requiring results that have direct connections to systems outside the laboratory. With this has come an ability to automate many areas of experimental science, not only the experiments themselves but also the larger processes that contribute to experimentation and analysis more broadly. As automated experimentation becomes more widely used and understood, we launch this journal to provide a proper publication channel for this new breed of interdisciplinary research as well as a bridge to all significant groundwork research that would facilitate possible automated experimentation. With this in mind, we are interested in publishing all kinds of research into scientific experimentation, including research where the potential for automation is at proof or concept or early deployment stage. |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 2 | 15% |
| United Kingdom | 1 | 8% |
| United States | 1 | 8% |
| Spain | 1 | 8% |
| Unknown | 8 | 62% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 46% |
| Professor | 3 | 23% |
| Student > Doctoral Student | 1 | 8% |
| Student > Master | 1 | 8% |
| Professor > Associate Professor | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 1 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 7 | 54% |
| Computer Science | 2 | 15% |
| Social Sciences | 1 | 8% |
| Medicine and Dentistry | 1 | 8% |
| Unknown | 2 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 29 October 2009.
All research outputs
#5,422,157
of 25,371,288 outputs
Outputs from Automated Experimentation
#4
of 6 outputs
Outputs of similar age
#21,324
of 107,977 outputs
Outputs of similar age from Automated Experimentation
#3
of 4 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.8. This one scored the same or higher as 2 of them.
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 107,977 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 80% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.