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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Videomics of the Upper Aero-Digestive Tract Cancer: Deep Learning Applied to White Light and Narrow Band Imaging for Automatic Segmentation of Endoscopic Images
|
|---|---|
| Published in |
Frontiers in oncology, June 2022
|
| DOI | 10.3389/fonc.2022.900451 |
| Pubmed ID | |
| Authors |
Muhammad Adeel Azam, Claudio Sampieri, Alessandro Ioppi, Pietro Benzi, Giorgio Gregory Giordano, Marta De Vecchi, Valentina Campagnari, Shunlei Li, Luca Guastini, Alberto Paderno, Sara Moccia, Cesare Piazza, Leonardo S. Mattos, Giorgio Peretti |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Korea, Republic of | 1 | 50% |
| Switzerland | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 5 | 18% |
| Other | 3 | 11% |
| Student > Postgraduate | 2 | 7% |
| Student > Master | 1 | 4% |
| Researcher | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 14 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 25% |
| Engineering | 2 | 7% |
| Business, Management and Accounting | 1 | 4% |
| Nursing and Health Professions | 1 | 4% |
| Unknown | 17 | 61% |
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 07 June 2022.
All research outputs
#17,251,913
of 25,392,582 outputs
Outputs from Frontiers in oncology
#7,864
of 22,436 outputs
Outputs of similar age
#263,433
of 446,492 outputs
Outputs of similar age from Frontiers in oncology
#540
of 1,658 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,436 research outputs from this source. They receive a mean Attention Score of 3.0. This one has gotten more attention than average, scoring higher than 64% 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 446,492 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,658 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 66% of its contemporaries.