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Mendeley readers
Attention Score in Context
Title |
MOSBIE: a tool for comparison and analysis of rule-based biochemical models
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Published in |
BMC Bioinformatics, September 2014
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DOI | 10.1186/1471-2105-15-316 |
Pubmed ID | |
Authors |
John E Wenskovitch, Leonard A Harris, Jose-Juan Tapia, James R Faeder, G Elisabeta Marai |
Abstract |
Mechanistic models that describe the dynamical behaviors of biochemical systems are common in computational systems biology, especially in the realm of cellular signaling. The development of families of such models, either by a single research group or by different groups working within the same area, presents significant challenges that range from identifying structural similarities and differences between models to understanding how these differences affect system dynamics. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 1 | 33% |
Japan | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 67% |
Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 1 | 4% |
Unknown | 22 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 9 | 39% |
Student > Ph. D. Student | 7 | 30% |
Professor > Associate Professor | 3 | 13% |
Student > Master | 2 | 9% |
Student > Doctoral Student | 1 | 4% |
Other | 1 | 4% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 8 | 35% |
Biochemistry, Genetics and Molecular Biology | 5 | 22% |
Computer Science | 4 | 17% |
Chemical Engineering | 1 | 4% |
Sports and Recreations | 1 | 4% |
Other | 3 | 13% |
Unknown | 1 | 4% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 07 October 2014.
All research outputs
#13,413,381
of 22,764,165 outputs
Outputs from BMC Bioinformatics
#4,192
of 7,273 outputs
Outputs of similar age
#120,107
of 252,140 outputs
Outputs of similar age from BMC Bioinformatics
#62
of 112 outputs
Altmetric has tracked 22,764,165 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,273 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 38th percentile – i.e., 38% 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 252,140 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 50% of its contemporaries.
We're also able to compare this research output to 112 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.