| Title |
From correlation to causation networks: a simple approximate learning algorithm and its application to high-dimensional plant gene expression data
|
|---|---|
| Published in |
BMC Systems Biology, August 2007
|
| DOI | 10.1186/1752-0509-1-37 |
| Pubmed ID | |
| Authors |
Rainer Opgen-Rhein, Korbinian Strimmer |
Mendeley readers
The data shown below were compiled from readership statistics for 451 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 10 | 2% |
| United Kingdom | 6 | 1% |
| Germany | 5 | 1% |
| Netherlands | 4 | <1% |
| Sweden | 3 | <1% |
| Brazil | 3 | <1% |
| Italy | 2 | <1% |
| Australia | 2 | <1% |
| China | 2 | <1% |
| Other | 12 | 3% |
| Unknown | 402 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 136 | 30% |
| Researcher | 111 | 25% |
| Student > Master | 38 | 8% |
| Professor > Associate Professor | 25 | 6% |
| Student > Bachelor | 21 | 5% |
| Other | 74 | 16% |
| Unknown | 46 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 156 | 35% |
| Computer Science | 73 | 16% |
| Biochemistry, Genetics and Molecular Biology | 44 | 10% |
| Engineering | 24 | 5% |
| Mathematics | 21 | 5% |
| Other | 71 | 16% |
| Unknown | 62 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 03 January 2018.
All research outputs
#5,629,250
of 26,017,215 outputs
Outputs from BMC Systems Biology
#163
of 1,135 outputs
Outputs of similar age
#15,796
of 79,132 outputs
Outputs of similar age from BMC Systems Biology
#2
of 4 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,135 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 84% 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 79,132 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% 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. This one has scored higher than 2 of them.