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X Demographics
Mendeley readers
Attention Score in Context
Title |
Towards Reproducible Descriptions of Neuronal Network Models
|
---|---|
Published in |
PLoS Computational Biology, August 2009
|
DOI | 10.1371/journal.pcbi.1000456 |
Pubmed ID | |
Authors |
Eilen Nordlie, Marc-Oliver Gewaltig, Hans Ekkehard Plesser |
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 % |
---|---|---|
Unknown | 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 254 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 11 | 4% |
United Kingdom | 9 | 4% |
Germany | 8 | 3% |
Japan | 3 | 1% |
Switzerland | 2 | <1% |
Russia | 2 | <1% |
Spain | 2 | <1% |
Brazil | 1 | <1% |
Australia | 1 | <1% |
Other | 11 | 4% |
Unknown | 204 | 80% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 68 | 27% |
Student > Ph. D. Student | 67 | 26% |
Student > Master | 24 | 9% |
Professor > Associate Professor | 14 | 6% |
Student > Doctoral Student | 14 | 6% |
Other | 50 | 20% |
Unknown | 17 | 7% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 68 | 27% |
Computer Science | 47 | 19% |
Neuroscience | 35 | 14% |
Engineering | 23 | 9% |
Physics and Astronomy | 17 | 7% |
Other | 38 | 15% |
Unknown | 26 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 March 2023.
All research outputs
#2,904,138
of 25,837,817 outputs
Outputs from PLoS Computational Biology
#2,582
of 9,035 outputs
Outputs of similar age
#10,471
of 128,051 outputs
Outputs of similar age from PLoS Computational Biology
#14
of 49 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,035 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has gotten more attention than average, scoring higher than 71% 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 128,051 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 89% of its contemporaries.
We're also able to compare this research output to 49 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 71% of its contemporaries.