The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
Title |
Automated zooplankton size measurement using deep learning: Overcoming the limitations of traditional methods
|
---|---|
Published in |
Frontiers in Marine Science, February 2024
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DOI | 10.3389/fmars.2024.1341191 |
Authors |
Wenjie Zhang, Hongsheng Bi, Duansheng Wang, Xuemin Cheng, Zhonghua Cai, Kezhen Ying |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 14% |
Unknown | 6 | 86% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 7 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 3 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 1 | 33% |
Student > Doctoral Student | 1 | 33% |
Unknown | 1 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Environmental Science | 1 | 33% |
Agricultural and Biological Sciences | 1 | 33% |
Unknown | 1 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 13 February 2024.
All research outputs
#7,586,177
of 26,451,700 outputs
Outputs from Frontiers in Marine Science
#4,062
of 11,416 outputs
Outputs of similar age
#113,696
of 390,792 outputs
Outputs of similar age from Frontiers in Marine Science
#81
of 470 outputs
Altmetric has tracked 26,451,700 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 11,416 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.7. This one has gotten more attention than average, scoring higher than 64% 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 390,792 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 70% of its contemporaries.
We're also able to compare this research output to 470 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.