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Attention Score in Context
| Title |
Identification of Bloodstains by Species Using Extreme Learning Machine and Hyperspectral Imaging Technology.
|
|---|---|
| Published in |
Applied Spectroscopy, June 2024
|
| DOI | 10.1177/00037028241261727 |
| Pubmed ID | |
| Authors |
Zhang Jianqiang, Zhang Xinyu, Lin Caiping, Liang Ying, Ren Huihui, Zhu Hanyu, Peng Xingshuai, Wang Jiateng, Shang Yantong, Peng Chengyun, Yang Qifu |
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 25 June 2024.
All research outputs
#4,556,757
of 26,194,269 outputs
Outputs from Applied Spectroscopy
#179
of 2,429 outputs
Outputs of similar age
#27,733
of 175,731 outputs
Outputs of similar age from Applied Spectroscopy
#1
of 1 outputs
Altmetric has tracked 26,194,269 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 2,429 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 92% 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 175,731 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 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them