| Title |
Inference of a Probabilistic Boolean Network from a Single Observed Temporal Sequence
|
|---|---|
| Published in |
EURASIP Journal on Bioinformatics & Systems Biology, May 2007
|
| DOI | 10.1155/2007/32454 |
| Pubmed ID | |
| Authors |
Stephen Marshall, Le Yu, Yufei Xiao, Edward R Dougherty |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 4% |
| Germany | 1 | 4% |
| Australia | 1 | 4% |
| Unknown | 24 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 33% |
| Professor > Associate Professor | 5 | 19% |
| Student > Master | 5 | 19% |
| Professor | 3 | 11% |
| Student > Doctoral Student | 2 | 7% |
| Other | 3 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 7 | 26% |
| Computer Science | 6 | 22% |
| Engineering | 5 | 19% |
| Biochemistry, Genetics and Molecular Biology | 3 | 11% |
| Mathematics | 2 | 7% |
| Other | 4 | 15% |
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 13 January 2021.
All research outputs
#6,604,748
of 25,394,764 outputs
Outputs from EURASIP Journal on Bioinformatics & Systems Biology
#7
of 53 outputs
Outputs of similar age
#25,502
of 86,125 outputs
Outputs of similar age from EURASIP Journal on Bioinformatics & Systems Biology
#1
of 2 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 53 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done well, scoring higher than 86% 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 86,125 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 69% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them