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Attention Score in Context
| Title |
Addressing age measurement errors in fish growth estimation from length-stratified samples
|
|---|---|
| Published in |
Biometrics, April 2024
|
| DOI | 10.1093/biomtc/ujae029 |
| Pubmed ID | |
| Authors |
Nan Zheng, Atefeh Kheirollahi, Yildiz Yilmaz |
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 22 April 2024.
All research outputs
#4,459,035
of 25,761,363 outputs
Outputs from Biometrics
#220
of 1,954 outputs
Outputs of similar age
#23,213
of 146,036 outputs
Outputs of similar age from Biometrics
#5
of 22 outputs
Altmetric has tracked 25,761,363 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,954 research outputs from this source. They receive a mean Attention Score of 4.9. 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 146,036 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 82% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.