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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Ranked prediction of p53 targets using hidden variable dynamic modeling
|
|---|---|
| Published in |
Genome Biology, March 2006
|
| DOI | 10.1186/gb-2006-7-3-r25 |
| Pubmed ID | |
| Authors |
Martino Barenco, Daniela Tomescu, Daniel Brewer, Robin Callard, Jaroslav Stark, Michael Hubank |
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 % |
|---|---|---|
| United Kingdom | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 5 | 6% |
| Netherlands | 1 | 1% |
| France | 1 | 1% |
| Italy | 1 | 1% |
| Germany | 1 | 1% |
| Sweden | 1 | 1% |
| Japan | 1 | 1% |
| United States | 1 | 1% |
| Luxembourg | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 71 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 25 | 30% |
| Student > Ph. D. Student | 20 | 24% |
| Professor > Associate Professor | 10 | 12% |
| Student > Master | 8 | 10% |
| Professor | 3 | 4% |
| Other | 10 | 12% |
| Unknown | 8 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 38 | 45% |
| Computer Science | 12 | 14% |
| Biochemistry, Genetics and Molecular Biology | 7 | 8% |
| Mathematics | 5 | 6% |
| Medicine and Dentistry | 4 | 5% |
| Other | 8 | 10% |
| Unknown | 10 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 22 August 2017.
All research outputs
#17,285,668
of 25,373,627 outputs
Outputs from Genome Biology
#4,093
of 4,467 outputs
Outputs of similar age
#75,777
of 85,019 outputs
Outputs of similar age from Genome Biology
#16
of 19 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 5th percentile – i.e., 5% 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 85,019 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.