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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A model for gene deregulation detection using expression data
|
|---|---|
| Published in |
BMC Systems Biology, December 2015
|
| DOI | 10.1186/1752-0509-9-s6-s6 |
| Pubmed ID | |
| Authors |
Thomas Picchetti, Julien Chiquet, Mohamed Elati, Pierre Neuvial, Rémy Nicolle, Etienne Birmelé |
| Abstract |
In tumoral cells, gene regulation mechanisms are severely altered. Genes that do not react normally to their regulators' activity can provide explanations for the tumoral behavior, and be characteristic of cancer subtypes. We thus propose a statistical methodology to identify the misregulated genes given a reference network and gene expression data. |
X Demographics
The data shown below were collected from the profiles of 7 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 States | 3 | 43% |
| Norway | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 33% |
| Researcher | 4 | 27% |
| Other | 1 | 7% |
| Professor | 1 | 7% |
| Student > Bachelor | 1 | 7% |
| Other | 2 | 13% |
| Unknown | 1 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 6 | 40% |
| Biochemistry, Genetics and Molecular Biology | 2 | 13% |
| Computer Science | 2 | 13% |
| Mathematics | 1 | 7% |
| Medicine and Dentistry | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 2 | 13% |
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 20 September 2016.
All research outputs
#12,771,316
of 22,889,074 outputs
Outputs from BMC Systems Biology
#416
of 1,142 outputs
Outputs of similar age
#173,685
of 389,136 outputs
Outputs of similar age from BMC Systems Biology
#11
of 47 outputs
Altmetric has tracked 22,889,074 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one has gotten more attention than average, scoring higher than 62% 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 389,136 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 54% of its contemporaries.
We're also able to compare this research output to 47 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 72% of its contemporaries.