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X Demographics
Mendeley readers
Attention Score in Context
Title |
Variational deep embedding-based active learning for the diagnosis of pneumonia
|
---|---|
Published in |
Frontiers in Neurorobotics, November 2022
|
DOI | 10.3389/fnbot.2022.1059739 |
Pubmed ID | |
Authors |
Jian Huang, Wen Ding, Jiarun Zhang, Zhao Li, Ting Shu, Pekka Kuosmanen, Guanqun Zhou, Chuan Zhou, Gang Yu |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 50% |
United States | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 50% |
Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 5 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Lecturer | 1 | 20% |
Unknown | 4 | 80% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 1 | 20% |
Unknown | 4 | 80% |
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 08 December 2022.
All research outputs
#20,660,542
of 25,388,229 outputs
Outputs from Frontiers in Neurorobotics
#640
of 1,033 outputs
Outputs of similar age
#360,918
of 491,734 outputs
Outputs of similar age from Frontiers in Neurorobotics
#28
of 72 outputs
Altmetric has tracked 25,388,229 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,033 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 25th percentile – i.e., 25% 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 491,734 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 72 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.