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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Rule-Based Models and Applications in Biology
|
|---|---|
| Chapter number | 1 |
| Book title |
Computational Cell Biology
|
| Published in |
Methods in molecular biology, November 2018
|
| DOI | 10.1007/978-1-4939-8618-7_1 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-8617-0, 978-1-4939-8618-7
|
| Authors |
Álvaro Bustos, Ignacio Fuenzalida, Rodrigo Santibáñez, Tomás Pérez-Acle, Alberto J. M. Martin, Bustos, Álvaro, Fuenzalida, Ignacio, Santibáñez, Rodrigo, Pérez-Acle, Tomás, Martin, Alberto J. M. |
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 % |
|---|---|---|
| Chile | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 33% |
| Researcher | 2 | 22% |
| Student > Doctoral Student | 1 | 11% |
| Professor | 1 | 11% |
| Other | 1 | 11% |
| Other | 0 | 0% |
| Unknown | 1 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 2 | 22% |
| Environmental Science | 1 | 11% |
| Biochemistry, Genetics and Molecular Biology | 1 | 11% |
| Computer Science | 1 | 11% |
| Agricultural and Biological Sciences | 1 | 11% |
| Other | 2 | 22% |
| Unknown | 1 | 11% |
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 30 April 2020.
All research outputs
#13,941,573
of 23,112,054 outputs
Outputs from Methods in molecular biology
#3,914
of 13,226 outputs
Outputs of similar age
#180,116
of 343,833 outputs
Outputs of similar age from Methods in molecular biology
#9
of 18 outputs
Altmetric has tracked 23,112,054 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,226 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 69% 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 343,833 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 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 50% of its contemporaries.