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 |
Demystifying image-based machine learning: a practical guide to automated analysis of field imagery using modern machine learning tools
|
|---|---|
| Published in |
Frontiers in Marine Science, June 2023
|
| DOI | 10.3389/fmars.2023.1157370 |
| Authors |
Byron T. Belcher, Eliana H. Bower, Benjamin Burford, Maria Rosa Celis, Ashkaan K. Fahimipour, Isabela L. Guevara, Kakani Katija, Zulekha Khokhar, Anjana Manjunath, Samuel Nelson, Simone Olivetti, Eric Orenstein, Mohamad H. Saleh, Brayan Vaca, Salma Valladares, Stella A. Hein, Andrew M. Hein |
X Demographics
The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| New Zealand | 1 | 8% |
| Switzerland | 1 | 8% |
| Unknown | 10 | 83% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 67% |
| Scientists | 4 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 19% |
| Student > Doctoral Student | 2 | 6% |
| Student > Ph. D. Student | 2 | 6% |
| Other | 1 | 3% |
| Professor | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 16 | 52% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 4 | 13% |
| Biochemistry, Genetics and Molecular Biology | 3 | 10% |
| Agricultural and Biological Sciences | 2 | 6% |
| Mathematics | 1 | 3% |
| Unspecified | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 18 | 58% |
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 06 June 2023.
All research outputs
#4,567,802
of 24,932,434 outputs
Outputs from Frontiers in Marine Science
#2,840
of 10,298 outputs
Outputs of similar age
#79,685
of 368,564 outputs
Outputs of similar age from Frontiers in Marine Science
#73
of 574 outputs
Altmetric has tracked 24,932,434 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 10,298 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 gotten more attention than average, scoring higher than 72% 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 368,564 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 78% of its contemporaries.
We're also able to compare this research output to 574 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.