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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Pycabnn: Efficient and Extensible Software to Construct an Anatomical Basis for a Physiologically Realistic Neural Network Model
|
|---|---|
| Published in |
Frontiers in Neuroinformatics, July 2020
|
| DOI | 10.3389/fninf.2020.00031 |
| Pubmed ID | |
| Authors |
Ines Wichert, Sanghun Jee, Erik De Schutter, Sungho Hong |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 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 > Ph. D. Student | 3 | 33% |
| Researcher | 3 | 33% |
| Other | 2 | 22% |
| Unknown | 1 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 2 | 22% |
| Computer Science | 1 | 11% |
| Medicine and Dentistry | 1 | 11% |
| Engineering | 1 | 11% |
| Unknown | 4 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 20 July 2020.
All research outputs
#3,442,103
of 26,456,908 outputs
Outputs from Frontiers in Neuroinformatics
#146
of 857 outputs
Outputs of similar age
#86,226
of 434,497 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#7
of 15 outputs
Altmetric has tracked 26,456,908 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% 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 well, scoring higher than 82% 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 434,497 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 80% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.