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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A New Bayesian Methodology for Nonlinear Model Calibration in Computational Systems Biology
|
|---|---|
| Published in |
Frontiers in Applied Mathematics and Statistics, July 2020
|
| DOI | 10.3389/fams.2020.00025 |
| Authors |
Fortunato Bianconi, Lorenzo Tomassoni, Chiara Antonini, Paolo Valigi |
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 States | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
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 % |
|---|---|---|
| Researcher | 5 | 33% |
| Student > Ph. D. Student | 3 | 20% |
| Other | 2 | 13% |
| Student > Master | 2 | 13% |
| Student > Doctoral Student | 1 | 7% |
| Other | 2 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 4 | 27% |
| Mathematics | 3 | 20% |
| Biochemistry, Genetics and Molecular Biology | 2 | 13% |
| Chemical Engineering | 1 | 7% |
| Medicine and Dentistry | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 3 | 20% |
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 03 May 2023.
All research outputs
#19,091,715
of 23,660,680 outputs
Outputs from Frontiers in Applied Mathematics and Statistics
#214
of 356 outputs
Outputs of similar age
#301,211
of 398,601 outputs
Outputs of similar age from Frontiers in Applied Mathematics and Statistics
#6
of 11 outputs
Altmetric has tracked 23,660,680 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 356 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 23rd percentile – i.e., 23% 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 398,601 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 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 54% of its contemporaries.