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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Inference of Gene Regulatory Networks with Sparse Structural Equation Models Exploiting Genetic Perturbations
|
|---|---|
| Published in |
PLoS Computational Biology, May 2013
|
| DOI | 10.1371/journal.pcbi.1003068 |
| Pubmed ID | |
| Authors |
Xiaodong Cai, Juan Andrés Bazerque, Georgios B. Giannakis |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Norway | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 6% |
| Brazil | 2 | 2% |
| Germany | 1 | <1% |
| Australia | 1 | <1% |
| Argentina | 1 | <1% |
| United Kingdom | 1 | <1% |
| Unknown | 102 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 32 | 28% |
| Researcher | 27 | 23% |
| Student > Bachelor | 11 | 10% |
| Student > Master | 9 | 8% |
| Other | 6 | 5% |
| Other | 22 | 19% |
| Unknown | 8 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 34 | 30% |
| Computer Science | 28 | 24% |
| Biochemistry, Genetics and Molecular Biology | 18 | 16% |
| Engineering | 8 | 7% |
| Mathematics | 4 | 3% |
| Other | 11 | 10% |
| Unknown | 12 | 10% |
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 09 December 2021.
All research outputs
#8,472,123
of 25,899,121 outputs
Outputs from PLoS Computational Biology
#5,551
of 9,068 outputs
Outputs of similar age
#69,451
of 209,608 outputs
Outputs of similar age from PLoS Computational Biology
#51
of 93 outputs
Altmetric has tracked 25,899,121 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 9,068 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.3. This one is in the 37th percentile – i.e., 37% of its peers scored the same or lower than it.
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 209,608 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 65% of its contemporaries.
We're also able to compare this research output to 93 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.