| Title |
Standardised lesion segmentation for imaging biomarker quantitation: a consensus recommendation from ESR and EORTC
|
|---|---|
| Published in |
Insights into Imaging, October 2022
|
| DOI | 10.1186/s13244-022-01287-4 |
| Pubmed ID | |
| Authors |
Nandita M. deSouza, Aad van der Lugt, Christophe M. Deroose, Angel Alberich-Bayarri, Luc Bidaut, Laure Fournier, Lena Costaridou, Daniela E. Oprea-Lager, Elmar Kotter, Marion Smits, Marius E. Mayerhoefer, Ronald Boellaard, Anna Caroli, Lioe-Fee de Geus-Oei, Wolfgang G. Kunz, Edwin H. Oei, Frederic Lecouvet, Manuela Franca, Christian Loewe, Egesta Lopci, Caroline Caramella, Anders Persson, Xavier Golay, Marc Dewey, James P. B. O’Connor, Pim deGraaf, Sergios Gatidis, Gudrun Zahlmann |
X Demographics
The data shown below were collected from the profiles of 20 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 4 | 20% |
| Italy | 2 | 10% |
| Austria | 1 | 5% |
| France | 1 | 5% |
| United Kingdom | 1 | 5% |
| Netherlands | 1 | 5% |
| United States | 1 | 5% |
| Unknown | 9 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 40% |
| Scientists | 7 | 35% |
| Science communicators (journalists, bloggers, editors) | 3 | 15% |
| Practitioners (doctors, other healthcare professionals) | 2 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 15% |
| Student > Ph. D. Student | 5 | 15% |
| Other | 3 | 9% |
| Unspecified | 3 | 9% |
| Student > Doctoral Student | 2 | 6% |
| Other | 3 | 9% |
| Unknown | 12 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 21% |
| Engineering | 5 | 15% |
| Unspecified | 3 | 9% |
| Computer Science | 1 | 3% |
| Sports and Recreations | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 15 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 20 October 2022.
All research outputs
#3,171,370
of 24,652,007 outputs
Outputs from Insights into Imaging
#183
of 1,123 outputs
Outputs of similar age
#64,798
of 432,192 outputs
Outputs of similar age from Insights into Imaging
#3
of 38 outputs
Altmetric has tracked 24,652,007 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,123 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has done well, scoring higher than 83% 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 432,192 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.