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When BERT meets Bilbo: a learning curve analysis of pretrained language model on disease classification

Overview of attention for article published in BMC Medical Informatics and Decision Making, April 2022
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
13 Mendeley
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Title
When BERT meets Bilbo: a learning curve analysis of pretrained language model on disease classification
Published in
BMC Medical Informatics and Decision Making, April 2022
DOI 10.1186/s12911-022-01829-2
Pubmed ID
Authors

Xuedong Li, Walter Yuan, Dezhong Peng, Qiaozhu Mei, Yue Wang

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 23%
Unspecified 1 8%
Librarian 1 8%
Student > Doctoral Student 1 8%
Lecturer 1 8%
Other 2 15%
Unknown 4 31%
Readers by discipline Count As %
Computer Science 4 31%
Agricultural and Biological Sciences 1 8%
Psychology 1 8%
Medicine and Dentistry 1 8%
Engineering 1 8%
Other 0 0%
Unknown 5 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 07 April 2022.
All research outputs
#18,298,940
of 23,504,694 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,535
of 2,027 outputs
Outputs of similar age
#299,990
of 444,328 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#34
of 55 outputs
Altmetric has tracked 23,504,694 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,027 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 20th percentile – i.e., 20% 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 444,328 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.