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
Mendeley readers
Attention Score in Context
| Title |
Automated Detection, Classification and Counting of Fish in Fish Passages With Deep Learning
|
|---|---|
| Published in |
Frontiers in Marine Science, January 2022
|
| DOI | 10.3389/fmars.2021.823173 |
| Authors |
Vishnu Kandimalla, Matt Richard, Frank Smith, Jean Quirion, Luis Torgo, Chris Whidden |
X Demographics
The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 7% |
| United States | 1 | 7% |
| Switzerland | 1 | 7% |
| Unknown | 11 | 79% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 71% |
| Scientists | 4 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 91 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 13% |
| Student > Ph. D. Student | 8 | 9% |
| Student > Master | 6 | 7% |
| Unspecified | 4 | 4% |
| Student > Bachelor | 3 | 3% |
| Other | 4 | 4% |
| Unknown | 54 | 59% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 10 | 11% |
| Agricultural and Biological Sciences | 8 | 9% |
| Environmental Science | 5 | 5% |
| Computer Science | 3 | 3% |
| Unspecified | 2 | 2% |
| Other | 7 | 8% |
| Unknown | 56 | 62% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 03 May 2024.
All research outputs
#2,103,208
of 26,179,695 outputs
Outputs from Frontiers in Marine Science
#1,408
of 11,217 outputs
Outputs of similar age
#51,504
of 531,998 outputs
Outputs of similar age from Frontiers in Marine Science
#53
of 568 outputs
Altmetric has tracked 26,179,695 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,217 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.6. This one has done well, scoring higher than 87% 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 531,998 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 568 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.