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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Bringing radiomics into a multi-omics framework for a comprehensive genotype–phenotype characterization of oncological diseases
|
|---|---|
| Published in |
Journal of Translational Medicine, October 2019
|
| DOI | 10.1186/s12967-019-2073-2 |
| Pubmed ID | |
| Authors |
Mario Zanfardino, Monica Franzese, Katia Pane, Carlo Cavaliere, Serena Monti, Giuseppina Esposito, Marco Salvatore, Marco Aiello |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 107 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 16% |
| Researcher | 13 | 12% |
| Student > Master | 12 | 11% |
| Student > Bachelor | 9 | 8% |
| Student > Doctoral Student | 8 | 7% |
| Other | 11 | 10% |
| Unknown | 37 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 18% |
| Biochemistry, Genetics and Molecular Biology | 16 | 15% |
| Computer Science | 10 | 9% |
| Agricultural and Biological Sciences | 6 | 6% |
| Mathematics | 2 | 2% |
| Other | 13 | 12% |
| Unknown | 41 | 38% |
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 14 November 2019.
All research outputs
#15,587,562
of 23,173,635 outputs
Outputs from Journal of Translational Medicine
#2,284
of 4,070 outputs
Outputs of similar age
#216,775
of 351,763 outputs
Outputs of similar age from Journal of Translational Medicine
#38
of 62 outputs
Altmetric has tracked 23,173,635 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,070 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 31st percentile – i.e., 31% 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 351,763 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.