| Title |
Quality assurance for automatically generated contours with additional deep learning
|
|---|---|
| Published in |
Insights into Imaging, August 2022
|
| DOI | 10.1186/s13244-022-01276-7 |
| Pubmed ID | |
| Authors |
Lars Johannes Isaksson, Paul Summers, Abhir Bhalerao, Sara Gandini, Sara Raimondi, Matteo Pepa, Mattia Zaffaroni, Giulia Corrao, Giovanni Carlo Mazzola, Marco Rotondi, Giuliana Lo Presti, Zaharudin Haron, Sara Alessi, Paola Pricolo, Francesco Alessandro Mistretta, Stefano Luzzago, Federica Cattani, Gennaro Musi, Ottavio De Cobelli, Marta Cremonesi, Roberto Orecchia, Giulia Marvaso, Giuseppe Petralia, Barbara Alicja Jereczek-Fossa |
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 % |
|---|---|---|
| Spain | 1 | 17% |
| Netherlands | 1 | 17% |
| United States | 1 | 17% |
| Unknown | 3 | 50% |
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 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 | 3 | 17% |
| Student > Master | 2 | 11% |
| Student > Ph. D. Student | 2 | 11% |
| Unspecified | 1 | 6% |
| Professor > Associate Professor | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 8 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 3 | 17% |
| Nursing and Health Professions | 2 | 11% |
| Computer Science | 2 | 11% |
| Unspecified | 1 | 6% |
| Mathematics | 1 | 6% |
| Other | 2 | 11% |
| Unknown | 7 | 39% |
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 27 August 2022.
All research outputs
#15,270,937
of 24,217,893 outputs
Outputs from Insights into Imaging
#636
of 1,072 outputs
Outputs of similar age
#207,195
of 420,211 outputs
Outputs of similar age from Insights into Imaging
#21
of 42 outputs
Altmetric has tracked 24,217,893 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 1,072 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one is in the 37th percentile – i.e., 37% 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 420,211 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.