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Assessment of potential human health risks in aquatic products based on the heavy metal hazard decision tree

Overview of attention for article published in BMC Bioinformatics, February 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
21 Mendeley
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Title
Assessment of potential human health risks in aquatic products based on the heavy metal hazard decision tree
Published in
BMC Bioinformatics, February 2022
DOI 10.1186/s12859-022-04603-3
Pubmed ID
Authors

Hao-Hsiang Ku, Pinpin Lin, Min-Pei Ling

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer > Senior Lecturer 2 10%
Lecturer 2 10%
Student > Ph. D. Student 2 10%
Student > Master 1 5%
Researcher 1 5%
Other 0 0%
Unknown 13 62%
Readers by discipline Count As %
Environmental Science 2 10%
Unspecified 1 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Biochemistry, Genetics and Molecular Biology 1 5%
Immunology and Microbiology 1 5%
Other 0 0%
Unknown 15 71%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 February 2022.
All research outputs
#14,192,454
of 23,202,641 outputs
Outputs from BMC Bioinformatics
#4,540
of 7,350 outputs
Outputs of similar age
#206,599
of 438,300 outputs
Outputs of similar age from BMC Bioinformatics
#91
of 133 outputs
Altmetric has tracked 23,202,641 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,350 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 35th percentile – i.e., 35% of its peers scored the same or lower than it.
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 438,300 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 51% of its contemporaries.
We're also able to compare this research output to 133 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.