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 |
An underwater observation dataset for fish classification and fishery assessment
|
|---|---|
| Published in |
Scientific Data, October 2018
|
| DOI | 10.1038/sdata.2018.190 |
| Pubmed ID | |
| Authors |
Erin McCann, Liling Li, Kevin Pangle, Nicholas Johnson, Jesse Eickholt |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 47 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 19% |
| Student > Master | 6 | 13% |
| Researcher | 6 | 13% |
| Student > Bachelor | 3 | 6% |
| Other | 2 | 4% |
| Other | 4 | 9% |
| Unknown | 17 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 6 | 13% |
| Agricultural and Biological Sciences | 5 | 11% |
| Environmental Science | 4 | 9% |
| Computer Science | 4 | 9% |
| Psychology | 2 | 4% |
| Other | 7 | 15% |
| Unknown | 19 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 17 June 2020.
All research outputs
#3,978,865
of 24,195,945 outputs
Outputs from Scientific Data
#1,275
of 2,861 outputs
Outputs of similar age
#76,091
of 350,113 outputs
Outputs of similar age from Scientific Data
#45
of 85 outputs
Altmetric has tracked 24,195,945 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,861 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.8. This one has gotten more attention than average, scoring higher than 55% 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 350,113 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 85 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.