The data shown below were compiled from readership statistics for 183 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Mendeley readers
Attention Score in Context
| Title |
Multimodal Modeling of Neural Network Activity: Computing LFP, ECoG, EEG, and MEG Signals With LFPy 2.0
|
|---|---|
| Published in |
Frontiers in Neuroinformatics, December 2018
|
| DOI | 10.3389/fninf.2018.00092 |
| Pubmed ID | |
| Authors |
Espen Hagen, Solveig Næss, Torbjørn V. Ness, Gaute T. Einevoll |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 183 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 42 | 23% |
| Researcher | 31 | 17% |
| Student > Master | 20 | 11% |
| Student > Bachelor | 17 | 9% |
| Student > Doctoral Student | 10 | 5% |
| Other | 17 | 9% |
| Unknown | 46 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 61 | 33% |
| Engineering | 32 | 17% |
| Agricultural and Biological Sciences | 8 | 4% |
| Computer Science | 7 | 4% |
| Physics and Astronomy | 6 | 3% |
| Other | 13 | 7% |
| Unknown | 56 | 31% |
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 02 January 2019.
All research outputs
#21,709,675
of 24,226,848 outputs
Outputs from Frontiers in Neuroinformatics
#719
of 795 outputs
Outputs of similar age
#380,029
of 443,607 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#26
of 26 outputs
Altmetric has tracked 24,226,848 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 795 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one is in the 1st percentile – i.e., 1% 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 443,607 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.