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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Comprehensive deep learning-based framework for automatic organs-at-risk segmentation in head-and-neck and pelvis for MR-guided radiation therapy planning
|
|---|---|
| Published in |
Frontiers in Physics, September 2023
|
| DOI | 10.3389/fphy.2023.1236792 |
| Authors |
Vanda Czipczer, Bernadett Kolozsvári, Borbála Deák-Karancsi, Marta E. Capala, Rachel A. Pearson, Emőke Borzási, Zsófia Együd, Szilvia Gaál, Gyöngyi Kelemen, Renáta Kószó, Viktor Paczona, Zoltán Végváry, Zsófia Karancsi, Ádám Kékesi, Edina Czunyi, Blanka H. Irmai, Nóra G. Keresnyei, Petra Nagypál, Renáta Czabány, Bence Gyalai, Bulcsú P. Tass, Balázs Cziria, Cristina Cozzini, Lloyd Estkowsky, Lehel Ferenczi, András Frontó, Ross Maxwell, István Megyeri, Michael Mian, Tao Tan, Jonathan Wyatt, Florian Wiesinger, Katalin Hideghéty, Hazel McCallum, Steven F. Petit, László Ruskó |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 1 | 25% |
| Researcher | 1 | 25% |
| Unknown | 2 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 1 | 25% |
| Engineering | 1 | 25% |
| Unknown | 2 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 19 September 2023.
All research outputs
#21,929,196
of 24,466,750 outputs
Outputs from Frontiers in Physics
#1,756
of 4,197 outputs
Outputs of similar age
#121,874
of 150,695 outputs
Outputs of similar age from Frontiers in Physics
#18
of 68 outputs
Altmetric has tracked 24,466,750 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,197 research outputs from this source. They receive a mean Attention Score of 2.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 150,695 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 68 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.