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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Video-based marker-free tracking and multi-scale analysis of mouse locomotor activity and behavioral aspects in an open field arena: A perspective approach to the quantification of complex gait disturbances associated with Alzheimer's disease
|
|---|---|
| Published in |
Frontiers in Neuroinformatics, February 2023
|
| DOI | 10.3389/fninf.2023.1101112 |
| Pubmed ID | |
| Authors |
Mikhail Bogachev, Aleksandr Sinitca, Konstantin Grigarevichius, Nikita Pyko, Asya Lyanova, Margarita Tsygankova, Eldar Davletshin, Konstantin Petrov, Tatyana Ageeva, Svetlana Pyko, Dmitrii Kaplun, Airat Kayumov, Yana Mukhamedshina |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Russia | 1 | 25% |
| Italy | 1 | 25% |
| Bulgaria | 1 | 25% |
| Switzerland | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 17% |
| Lecturer | 2 | 11% |
| Student > Ph. D. Student | 1 | 6% |
| Student > Postgraduate | 1 | 6% |
| Unknown | 11 | 61% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 2 | 11% |
| Neuroscience | 2 | 11% |
| Agricultural and Biological Sciences | 1 | 6% |
| Chemical Engineering | 1 | 6% |
| Engineering | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 11 | 61% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 25 February 2023.
All research outputs
#7,645,268
of 23,427,600 outputs
Outputs from Frontiers in Neuroinformatics
#362
of 770 outputs
Outputs of similar age
#126,757
of 412,049 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#6
of 20 outputs
Altmetric has tracked 23,427,600 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 770 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has gotten more attention than average, scoring higher than 52% 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 412,049 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 20 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 70% of its contemporaries.