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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Deep Neural Network or Dermatologist?
|
---|---|
Chapter number | 6 |
Book title |
Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support
|
Published in |
arXiv, October 2019
|
DOI | 10.1007/978-3-030-33850-3_6 |
Book ISBNs |
978-3-03-033849-7, 978-3-03-033850-3
|
Authors |
Kyle Young, Gareth Booth, Becks Simpson, Reuben Dutton, Sally Shrapnel, Young, Kyle, Booth, Gareth, Simpson, Becks, Dutton, Reuben, Shrapnel, Sally |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
San Marino | 1 | 14% |
South Africa | 1 | 14% |
Unknown | 5 | 71% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 86% |
Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 78 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 10 | 13% |
Student > Master | 8 | 10% |
Student > Bachelor | 8 | 10% |
Researcher | 4 | 5% |
Student > Doctoral Student | 4 | 5% |
Other | 10 | 13% |
Unknown | 34 | 44% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 22 | 28% |
Engineering | 8 | 10% |
Medicine and Dentistry | 5 | 6% |
Mathematics | 2 | 3% |
Chemistry | 2 | 3% |
Other | 6 | 8% |
Unknown | 33 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 26 November 2021.
All research outputs
#6,091,187
of 24,099,692 outputs
Outputs from arXiv
#123,034
of 1,020,419 outputs
Outputs of similar age
#105,738
of 359,220 outputs
Outputs of similar age from arXiv
#4,062
of 29,399 outputs
Altmetric has tracked 24,099,692 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 1,020,419 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 87% 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 359,220 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 70% of its contemporaries.
We're also able to compare this research output to 29,399 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.