| Title |
Total metabolic tumor volume by 18F-FDG PET/CT for the prediction of outcome in patients with non-small cell lung cancer
|
|---|---|
| Published in |
Annals of Nuclear Medicine, October 2019
|
| DOI | 10.1007/s12149-019-01407-z |
| Pubmed ID | |
| Authors |
Sara Pellegrino, Rosa Fonti, Emanuela Mazziotti, Luisa Piccin, Eleonora Mozzillo, Vincenzo Damiano, Elide Matano, Sabino De Placido, Silvana Del Vecchio |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 31% |
| Student > Doctoral Student | 3 | 10% |
| Student > Ph. D. Student | 2 | 7% |
| Professor | 1 | 3% |
| Other | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 11 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 48% |
| Mathematics | 1 | 3% |
| Linguistics | 1 | 3% |
| Computer Science | 1 | 3% |
| Nursing and Health Professions | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 9 | 31% |
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 09 April 2020.
All research outputs
#20,583,973
of 23,168,000 outputs
Outputs from Annals of Nuclear Medicine
#486
of 637 outputs
Outputs of similar age
#300,529
of 354,268 outputs
Outputs of similar age from Annals of Nuclear Medicine
#6
of 10 outputs
Altmetric has tracked 23,168,000 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 637 research outputs from this source. They receive a mean Attention Score of 2.4. 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 354,268 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 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.