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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Whole Slide Image Registration for the Study of Tumor Heterogeneity
|
|---|---|
| Chapter number | 12 |
| Book title |
Computational Pathology and Ophthalmic Medical Image Analysis
|
| Published in |
arXiv, September 2018
|
| DOI | 10.1007/978-3-030-00949-6_12 |
| Book ISBNs |
978-3-03-000948-9, 978-3-03-000949-6
|
| Authors |
Leslie Solorzano, Gabriela M. Almeida, Bárbara Mesquita, Diana Martins, Carla Oliveira, Carolina Wählby |
X Demographics
The data shown below were collected from the profiles of 6 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 | 2 | 33% |
| Netherlands | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
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 | 4 | 22% |
| Student > Doctoral Student | 3 | 17% |
| Student > Master | 2 | 11% |
| Professor | 1 | 6% |
| Lecturer > Senior Lecturer | 1 | 6% |
| Other | 2 | 11% |
| Unknown | 5 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 33% |
| Engineering | 2 | 11% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 6% |
| Immunology and Microbiology | 1 | 6% |
| Nursing and Health Professions | 1 | 6% |
| Other | 2 | 11% |
| Unknown | 5 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 16 February 2019.
All research outputs
#15,789,162
of 24,998,746 outputs
Outputs from arXiv
#298,556
of 1,020,287 outputs
Outputs of similar age
#198,401
of 347,632 outputs
Outputs of similar age from arXiv
#8,233
of 22,372 outputs
Altmetric has tracked 24,998,746 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,020,287 research outputs from this source. They receive a mean Attention Score of 4.1. This one has gotten more attention than average, scoring higher than 66% 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 347,632 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22,372 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.