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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Linear Control Theory for Gene Network Modeling
|
|---|---|
| Published in |
PLOS ONE, September 2010
|
| DOI | 10.1371/journal.pone.0012785 |
| Pubmed ID | |
| Authors |
Yong-Jun Shin, Leonidas Bleris |
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 % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | 7% |
| Spain | 3 | 2% |
| United Kingdom | 3 | 2% |
| Germany | 2 | 2% |
| Austria | 2 | 2% |
| Brazil | 2 | 2% |
| Sweden | 1 | <1% |
| Canada | 1 | <1% |
| Belgium | 1 | <1% |
| Other | 3 | 2% |
| Unknown | 99 | 79% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 47 | 37% |
| Researcher | 23 | 18% |
| Student > Master | 19 | 15% |
| Professor > Associate Professor | 9 | 7% |
| Professor | 6 | 5% |
| Other | 17 | 13% |
| Unknown | 5 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 40 | 32% |
| Engineering | 28 | 22% |
| Biochemistry, Genetics and Molecular Biology | 15 | 12% |
| Computer Science | 10 | 8% |
| Mathematics | 6 | 5% |
| Other | 16 | 13% |
| Unknown | 11 | 9% |
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 18 January 2024.
All research outputs
#7,867,620
of 25,189,292 outputs
Outputs from PLOS ONE
#104,233
of 218,442 outputs
Outputs of similar age
#31,600
of 91,051 outputs
Outputs of similar age from PLOS ONE
#504
of 937 outputs
Altmetric has tracked 25,189,292 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 218,442 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.7. This one has gotten more attention than average, scoring higher than 51% 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 91,051 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 64% of its contemporaries.
We're also able to compare this research output to 937 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.