| Title |
An Efficient and Extendable Python Library to Analyze Neuronal Morphologies
|
|---|---|
| Published in |
Neuroinformatics, June 2014
|
| DOI | 10.1007/s12021-014-9232-7 |
| Pubmed ID | |
| Authors |
Benjamin Torben-Nielsen |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Israel | 1 | 4% |
| Unknown | 27 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 32% |
| Researcher | 7 | 25% |
| Professor > Associate Professor | 2 | 7% |
| Student > Master | 2 | 7% |
| Student > Bachelor | 1 | 4% |
| Other | 6 | 21% |
| Unknown | 1 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 7 | 25% |
| Agricultural and Biological Sciences | 7 | 25% |
| Engineering | 3 | 11% |
| Biochemistry, Genetics and Molecular Biology | 2 | 7% |
| Medicine and Dentistry | 2 | 7% |
| Other | 4 | 14% |
| Unknown | 3 | 11% |
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 16 June 2014.
All research outputs
#18,373,576
of 22,757,090 outputs
Outputs from Neuroinformatics
#320
of 402 outputs
Outputs of similar age
#164,050
of 228,650 outputs
Outputs of similar age from Neuroinformatics
#6
of 9 outputs
Altmetric has tracked 22,757,090 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 402 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 12th percentile – i.e., 12% 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 228,650 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.