| Title |
Artery/Vein Vessel Tree Identification in Near-Infrared Reflectance Retinographies
|
|---|---|
| Published in |
Journal of Digital Imaging, May 2019
|
| DOI | 10.1007/s10278-019-00235-x |
| Pubmed ID | |
| Authors |
Joaquim de Moura, Jorge Novo, José Rouco, Pablo Charlón, Marcos Ortega |
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 | 3 | 50% |
| Spain | 1 | 17% |
| Congo, The Democratic Republic of the | 1 | 17% |
| Unknown | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 2 | 15% |
| Researcher | 2 | 15% |
| Professor > Associate Professor | 2 | 15% |
| Student > Master | 1 | 8% |
| Professor | 1 | 8% |
| Other | 2 | 15% |
| Unknown | 3 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 46% |
| Nursing and Health Professions | 1 | 8% |
| Medicine and Dentistry | 1 | 8% |
| Engineering | 1 | 8% |
| Unknown | 4 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 11 October 2019.
All research outputs
#7,492,271
of 23,149,216 outputs
Outputs from Journal of Digital Imaging
#337
of 1,070 outputs
Outputs of similar age
#134,512
of 350,416 outputs
Outputs of similar age from Journal of Digital Imaging
#16
of 36 outputs
Altmetric has tracked 23,149,216 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 1,070 research outputs from this source. They receive a mean Attention Score of 4.6. This one has gotten more attention than average, scoring higher than 68% 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 350,416 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 61% of its contemporaries.
We're also able to compare this research output to 36 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 55% of its contemporaries.