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Ensemble learning for predicting ex vivo human placental barrier permeability

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

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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5 X users

Citations

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4 Dimensions

Readers on

mendeley
8 Mendeley
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Title
Ensemble learning for predicting ex vivo human placental barrier permeability
Published in
BMC Bioinformatics, September 2022
DOI 10.1186/s12859-022-04937-y
Pubmed ID
Authors

Che-Yu Chou, Pinpin Lin, Jongwoon Kim, Shan-Shan Wang, Chia-Chi Wang, Chun-Wei Tung

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 13%
Student > Master 1 13%
Unknown 6 75%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 1 13%
Biochemistry, Genetics and Molecular Biology 1 13%
Unknown 6 75%
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 11 October 2022.
All research outputs
#14,393,870
of 23,507,888 outputs
Outputs from BMC Bioinformatics
#4,562
of 7,404 outputs
Outputs of similar age
#195,640
of 436,941 outputs
Outputs of similar age from BMC Bioinformatics
#78
of 137 outputs
Altmetric has tracked 23,507,888 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 7,404 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 436,941 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 53% of its contemporaries.
We're also able to compare this research output to 137 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.