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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Introducing a Comprehensive Framework to Measure Spike-LFP Coupling
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, October 2018
|
| DOI | 10.3389/fncom.2018.00078 |
| Pubmed ID | |
| Authors |
Mohammad Zarei, Mehran Jahed, Mohammad Reza Daliri |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 33% |
| United States | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 49 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 24% |
| Researcher | 8 | 16% |
| Student > Master | 7 | 14% |
| Student > Bachelor | 6 | 12% |
| Professor | 3 | 6% |
| Other | 8 | 16% |
| Unknown | 5 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 22 | 45% |
| Agricultural and Biological Sciences | 6 | 12% |
| Engineering | 5 | 10% |
| Psychology | 3 | 6% |
| Medicine and Dentistry | 2 | 4% |
| Other | 6 | 12% |
| Unknown | 5 | 10% |
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 28 October 2018.
All research outputs
#15,547,315
of 23,106,390 outputs
Outputs from Frontiers in Computational Neuroscience
#875
of 1,358 outputs
Outputs of similar age
#218,183
of 348,238 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#17
of 24 outputs
Altmetric has tracked 23,106,390 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,358 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 28th percentile – i.e., 28% 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 348,238 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.