The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Attention Score in Context
| Title |
Comprehensive ethological analysis of fear expression in rats using DeepLabCut and SimBA machine learning model
|
|---|---|
| Published in |
Frontiers in Behavioral Neuroscience, August 2024
|
| DOI | 10.3389/fnbeh.2024.1440601 |
| Pubmed ID | |
| Authors |
Kanat Chanthongdee, Yerko Fuentealba, Thor Wahlestedt, Lou Foulhac, Tetiana Kardash, Andrea Coppola, Markus Heilig, Estelle Barbier |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 2 | 13% |
| Unknown | 13 | 87% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 60% |
| Scientists | 6 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 23 August 2024.
All research outputs
#4,936,670
of 26,518,120 outputs
Outputs from Frontiers in Behavioral Neuroscience
#774
of 3,518 outputs
Outputs of similar age
#37,022
of 202,495 outputs
Outputs of similar age from Frontiers in Behavioral Neuroscience
#2
of 21 outputs
Altmetric has tracked 26,518,120 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,518 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.2. This one has done well, scoring higher than 77% 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 202,495 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 81% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.