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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Data Augmentation for Skin Lesion Analysis
|
|---|---|
| Chapter number | 33 |
| Book title |
OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, and Skin Image Analysis
|
| Published in |
arXiv, October 2018
|
| DOI | 10.1007/978-3-030-01201-4_33 |
| Book ISBNs |
978-3-03-001200-7, 978-3-03-001201-4
|
| Authors |
Fábio Perez, Cristina Vasconcelos, Sandra Avila, Eduardo Valle, Perez, Fábio, Vasconcelos, Cristina, Avila, Sandra, Valle, Eduardo |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Denmark | 3 | 30% |
| India | 1 | 10% |
| Netherlands | 1 | 10% |
| Unknown | 5 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 90% |
| Practitioners (doctors, other healthcare professionals) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 189 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 189 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 33 | 17% |
| Student > Master | 28 | 15% |
| Student > Bachelor | 19 | 10% |
| Researcher | 14 | 7% |
| Student > Doctoral Student | 12 | 6% |
| Other | 15 | 8% |
| Unknown | 68 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 59 | 31% |
| Engineering | 32 | 17% |
| Medicine and Dentistry | 8 | 4% |
| Mathematics | 4 | 2% |
| Agricultural and Biological Sciences | 3 | 2% |
| Other | 11 | 6% |
| Unknown | 72 | 38% |
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 18 September 2018.
All research outputs
#5,057,348
of 24,002,307 outputs
Outputs from arXiv
#115,100
of 1,011,770 outputs
Outputs of similar age
#96,803
of 347,356 outputs
Outputs of similar age from arXiv
#3,228
of 25,804 outputs
Altmetric has tracked 24,002,307 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,011,770 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 88% 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 347,356 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 71% of its contemporaries.
We're also able to compare this research output to 25,804 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.