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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Lamina specific loss of inhibition may lead to distinct neuropathic manifestations: a computational modeling approach
|
|---|---|
| Published in |
Research on Biomedical Engineering, January 2015
|
| DOI | 10.1590/2446-4740.0734 |
| Authors |
Erick Javier Argüello Prada, Ricardo José Silva Bustillos, Mónica Karel Huerta, Antonio D’Alessandro Martínez |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 14% |
| Unknown | 6 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 1 | 14% |
| Student > Bachelor | 1 | 14% |
| Researcher | 1 | 14% |
| Lecturer > Senior Lecturer | 1 | 14% |
| Unknown | 3 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 1 | 14% |
| Computer Science | 1 | 14% |
| Neuroscience | 1 | 14% |
| Engineering | 1 | 14% |
| Unknown | 3 | 43% |
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 11 October 2020.
All research outputs
#17,285,668
of 25,373,627 outputs
Outputs from Research on Biomedical Engineering
#38
of 74 outputs
Outputs of similar age
#220,161
of 359,528 outputs
Outputs of similar age from Research on Biomedical Engineering
#3
of 3 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 74 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 27th percentile – i.e., 27% 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 359,528 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.