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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Experimental design for efficient identification of gene regulatory networks using sparse Bayesian models
|
|---|---|
| Published in |
BMC Systems Biology, November 2007
|
| DOI | 10.1186/1752-0509-1-51 |
| Authors |
Florian Steinke, Matthias Seeger, Koji Tsuda |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 4% |
| Germany | 2 | 2% |
| Sweden | 2 | 2% |
| Italy | 1 | 1% |
| Hong Kong | 1 | 1% |
| Switzerland | 1 | 1% |
| Brazil | 1 | 1% |
| Denmark | 1 | 1% |
| Taiwan | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 76 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 30 | 33% |
| Student > Ph. D. Student | 26 | 29% |
| Student > Master | 11 | 12% |
| Professor | 5 | 6% |
| Professor > Associate Professor | 4 | 4% |
| Other | 7 | 8% |
| Unknown | 7 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 25 | 28% |
| Computer Science | 22 | 24% |
| Engineering | 12 | 13% |
| Mathematics | 6 | 7% |
| Physics and Astronomy | 4 | 4% |
| Other | 14 | 16% |
| Unknown | 7 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 16 July 2020.
All research outputs
#18,554,389
of 22,979,862 outputs
Outputs from BMC Systems Biology
#836
of 1,144 outputs
Outputs of similar age
#59,738
of 64,441 outputs
Outputs of similar age from BMC Systems Biology
#6
of 6 outputs
Altmetric has tracked 22,979,862 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,144 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 11th percentile – i.e., 11% of its peers scored the same or lower than it.
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 64,441 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.