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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Functional clustering of time series gene expression data by Granger causality
|
|---|---|
| Published in |
BMC Systems Biology, October 2012
|
| DOI | 10.1186/1752-0509-6-137 |
| Pubmed ID | |
| Authors |
André Fujita, Patricia Severino, Kaname Kojima, João Ricardo Sato, Alexandre Galvão Patriota, Satoru Miyano |
| Abstract |
A common approach for time series gene expression data analysis includes the clustering of genes with similar expression patterns throughout time. Clustered gene expression profiles point to the joint contribution of groups of genes to a particular cellular process. However, since genes belong to intricate networks, other features, besides comparable expression patterns, should provide additional information for the identification of functionally similar genes. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 50% |
| Peru | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Cuba | 2 | 4% |
| Italy | 2 | 4% |
| Malaysia | 1 | 2% |
| Austria | 1 | 2% |
| China | 1 | 2% |
| Unknown | 46 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 25% |
| Researcher | 13 | 25% |
| Student > Master | 7 | 13% |
| Professor | 3 | 6% |
| Student > Doctoral Student | 3 | 6% |
| Other | 9 | 17% |
| Unknown | 5 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 11 | 21% |
| Engineering | 9 | 17% |
| Agricultural and Biological Sciences | 9 | 17% |
| Biochemistry, Genetics and Molecular Biology | 5 | 9% |
| Mathematics | 3 | 6% |
| Other | 7 | 13% |
| Unknown | 9 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 26 July 2020.
All research outputs
#7,448,804
of 25,639,676 outputs
Outputs from BMC Systems Biology
#240
of 1,132 outputs
Outputs of similar age
#56,052
of 202,712 outputs
Outputs of similar age from BMC Systems Biology
#14
of 30 outputs
Altmetric has tracked 25,639,676 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,132 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 77% 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 202,712 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 30 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 53% of its contemporaries.