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X Demographics
Mendeley readers
Attention Score in Context
Title |
Two-Stage Deep Neural Network via Ensemble Learning for Melanoma Classification
|
---|---|
Published in |
Frontiers in Bioengineering and Biotechnology, January 2022
|
DOI | 10.3389/fbioe.2021.758495 |
Pubmed ID | |
Authors |
Jiaqi Ding, Jie Song, Jiawei Li, Jijun Tang, Fei Guo |
X Demographics
The data shown below were collected from the profiles of 22 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Singapore | 1 | 5% |
China | 1 | 5% |
United Arab Emirates | 1 | 5% |
Belgium | 1 | 5% |
India | 1 | 5% |
United Kingdom | 1 | 5% |
Austria | 1 | 5% |
Canada | 1 | 5% |
Switzerland | 1 | 5% |
Other | 2 | 9% |
Unknown | 11 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 14 | 64% |
Science communicators (journalists, bloggers, editors) | 3 | 14% |
Scientists | 3 | 14% |
Practitioners (doctors, other healthcare professionals) | 2 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 18 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 2 | 11% |
Student > Master | 2 | 11% |
Professor | 1 | 6% |
Unspecified | 1 | 6% |
Other | 1 | 6% |
Other | 1 | 6% |
Unknown | 10 | 56% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 22% |
Engineering | 2 | 11% |
Medicine and Dentistry | 1 | 6% |
Unspecified | 1 | 6% |
Unknown | 10 | 56% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 22 January 2022.
All research outputs
#4,441,064
of 25,155,561 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#607
of 8,308 outputs
Outputs of similar age
#97,443
of 513,534 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#30
of 565 outputs
Altmetric has tracked 25,155,561 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,308 research outputs from this source. They receive a mean Attention Score of 3.5. 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 513,534 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 80% of its contemporaries.
We're also able to compare this research output to 565 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 94% of its contemporaries.