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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Deep Learning and Data Labeling for Medical Applications
|
|---|---|
| Published by |
Lecture notes in computer science, January 2016
|
| DOI | 10.1007/978-3-319-46976-8 |
| ISBNs |
978-3-31-946975-1, 978-3-31-946976-8
|
| Editors |
Carneiro Gustavo, Mateus Diana, Peter Loïc, Bradley Andrew, Tavares João Manuel R. S., Belagiannis Vasileios, Papa João Paulo, Nascimento Jacinto C., Loog Marco, Lu Zhi, Cardoso Jaime S., Cornebise Julien |
X Demographics
The data shown below were collected from the profiles of 60 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 17 | 28% |
| Australia | 5 | 8% |
| Canada | 4 | 7% |
| Netherlands | 4 | 7% |
| Germany | 2 | 3% |
| United Kingdom | 1 | 2% |
| Switzerland | 1 | 2% |
| Saudi Arabia | 1 | 2% |
| Ireland | 1 | 2% |
| Other | 6 | 10% |
| Unknown | 18 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 37 | 62% |
| Scientists | 18 | 30% |
| Science communicators (journalists, bloggers, editors) | 2 | 3% |
| Practitioners (doctors, other healthcare professionals) | 2 | 3% |
| Unknown | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 194 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 194 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 33 | 17% |
| Student > Ph. D. Student | 32 | 16% |
| Researcher | 21 | 11% |
| Student > Bachelor | 16 | 8% |
| Student > Doctoral Student | 7 | 4% |
| Other | 21 | 11% |
| Unknown | 64 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 41 | 21% |
| Engineering | 37 | 19% |
| Medicine and Dentistry | 12 | 6% |
| Physics and Astronomy | 9 | 5% |
| Agricultural and Biological Sciences | 4 | 2% |
| Other | 17 | 9% |
| Unknown | 74 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 39. 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 13 February 2024.
All research outputs
#1,071,843
of 26,017,215 outputs
Outputs from Lecture notes in computer science
#123
of 8,229 outputs
Outputs of similar age
#18,194
of 405,194 outputs
Outputs of similar age from Lecture notes in computer science
#34
of 585 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,229 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done particularly well, scoring higher than 98% 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 405,194 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 585 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.