| Title |
Head and neck squamous cell carcinoma: prediction of cervical lymph node metastasis by dual-energy CT texture analysis with machine learning
|
|---|---|
| Published in |
European Radiology, April 2019
|
| DOI | 10.1007/s00330-019-06159-y |
| Pubmed ID | |
| Authors |
Reza Forghani, Avishek Chatterjee, Caroline Reinhold, Almudena Pérez-Lara, Griselda Romero-Sanchez, Yoshiko Ueno, Maryam Bayat, James W. M. Alexander, Lynda Kadi, Jeffrey Chankowsky, Jan Seuntjens, Behzad Forghani |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 33% |
| Germany | 1 | 33% |
| Netherlands | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 96 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 14% |
| Student > Bachelor | 9 | 9% |
| Other | 8 | 8% |
| Student > Ph. D. Student | 7 | 7% |
| Student > Postgraduate | 7 | 7% |
| Other | 15 | 16% |
| Unknown | 37 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 27 | 28% |
| Computer Science | 12 | 13% |
| Biochemistry, Genetics and Molecular Biology | 4 | 4% |
| Agricultural and Biological Sciences | 2 | 2% |
| Arts and Humanities | 2 | 2% |
| Other | 9 | 9% |
| Unknown | 40 | 42% |
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 21 January 2020.
All research outputs
#14,160,405
of 23,142,049 outputs
Outputs from European Radiology
#2,132
of 4,188 outputs
Outputs of similar age
#188,984
of 352,538 outputs
Outputs of similar age from European Radiology
#41
of 100 outputs
Altmetric has tracked 23,142,049 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,188 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 47th percentile – i.e., 47% 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 352,538 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 100 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 59% of its contemporaries.