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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identifying targets of multiple co-regulating transcription factors from expression time-series by Bayesian model comparison
|
|---|---|
| Published in |
BMC Systems Biology, May 2012
|
| DOI | 10.1186/1752-0509-6-53 |
| Pubmed ID | |
| Authors |
Michalis K Titsias, Antti Honkela, Neil D Lawrence, Magnus Rattray |
| Abstract |
Complete transcriptional regulatory network inference is a huge challenge because of the complexity of the network and sparsity of available data. One approach to make it more manageable is to focus on the inference of context-specific networks involving a few interacting transcription factors (TFs) and all of their target genes. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 5% |
| Spain | 1 | 2% |
| Sweden | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 51 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 25 | 44% |
| Student > Ph. D. Student | 11 | 19% |
| Professor > Associate Professor | 5 | 9% |
| Student > Master | 5 | 9% |
| Professor | 4 | 7% |
| Other | 6 | 11% |
| Unknown | 1 | 2% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 24 | 42% |
| Computer Science | 10 | 18% |
| Biochemistry, Genetics and Molecular Biology | 7 | 12% |
| Mathematics | 6 | 11% |
| Engineering | 2 | 4% |
| Other | 5 | 9% |
| Unknown | 3 | 5% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 15 April 2022.
All research outputs
#14,599,900
of 25,374,647 outputs
Outputs from BMC Systems Biology
#445
of 1,132 outputs
Outputs of similar age
#99,751
of 178,897 outputs
Outputs of similar age from BMC Systems Biology
#14
of 31 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,132 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 59% 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 178,897 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.