The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Advances in Astrocyte Computational Models: From Metabolic Reconstructions to Multi-omic Approaches
|
|---|---|
| Published in |
Frontiers in Neuroinformatics, August 2020
|
| DOI | 10.3389/fninf.2020.00035 |
| Pubmed ID | |
| Authors |
Janneth González, Andrés Pinzón, Andrea Angarita-Rodríguez, Andrés Felipe Aristizabal, George E. Barreto, Cynthia Martín-Jiménez |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Colombia | 3 | 20% |
| United States | 2 | 13% |
| United Kingdom | 1 | 7% |
| Saudi Arabia | 1 | 7% |
| Unknown | 8 | 53% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 87% |
| Scientists | 2 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 58 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 13 | 22% |
| Researcher | 6 | 10% |
| Student > Ph. D. Student | 5 | 9% |
| Student > Bachelor | 4 | 7% |
| Student > Doctoral Student | 3 | 5% |
| Other | 7 | 12% |
| Unknown | 20 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 9 | 16% |
| Biochemistry, Genetics and Molecular Biology | 6 | 10% |
| Engineering | 4 | 7% |
| Computer Science | 4 | 7% |
| Medicine and Dentistry | 3 | 5% |
| Other | 7 | 12% |
| Unknown | 25 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 29 May 2021.
All research outputs
#2,149,035
of 26,437,155 outputs
Outputs from Frontiers in Neuroinformatics
#58
of 857 outputs
Outputs of similar age
#56,046
of 430,549 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#1
of 13 outputs
Altmetric has tracked 26,437,155 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 857 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has done particularly well, scoring higher than 93% 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 430,549 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.