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Attention Score in Context
| Title |
Peptide aptamer-based colorimetric sensor for the detection of L-tryptophan in porcine serum
|
|---|---|
| Published in |
Microchemical Journal, February 2024
|
| DOI | 10.1016/j.microc.2024.109896 |
| Authors |
Wenjing Wang, Yumin He, Suxiang He, Xiaoying Liu, Qing-wen Gui, Lei Deng, Hui Wang, Zhong Cao, Zemeng Feng, Benhai Xiong, Yulong Yin |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 10 January 2024.
All research outputs
#4,841,279
of 25,394,764 outputs
Outputs from Microchemical Journal
#82
of 1,337 outputs
Outputs of similar age
#48,438
of 251,537 outputs
Outputs of similar age from Microchemical Journal
#1
of 34 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,337 research outputs from this source. They receive a mean Attention Score of 3.2. 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 251,537 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 79% of its contemporaries.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.