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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Combinations of immuno-checkpoint inhibitors predictive biomarkers only marginally improve their individual accuracy
|
|---|---|
| Published in |
Journal of Translational Medicine, April 2019
|
| DOI | 10.1186/s12967-019-1865-8 |
| Pubmed ID | |
| Authors |
Matteo Pallocca, Davide Angeli, Fabio Palombo, Francesca Sperati, Michele Milella, Frauke Goeman, Francesca De Nicola, Maurizio Fanciulli, Paola Nisticò, Concetta Quintarelli, Gennaro Ciliberto |
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 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 59 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 22% |
| Student > Bachelor | 8 | 14% |
| Student > Master | 6 | 10% |
| Other | 3 | 5% |
| Student > Ph. D. Student | 3 | 5% |
| Other | 4 | 7% |
| Unknown | 22 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 10 | 17% |
| Medicine and Dentistry | 8 | 14% |
| Agricultural and Biological Sciences | 6 | 10% |
| Immunology and Microbiology | 4 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 5% |
| Other | 4 | 7% |
| Unknown | 24 | 41% |
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 24 April 2019.
All research outputs
#20,568,245
of 23,144,579 outputs
Outputs from Journal of Translational Medicine
#3,366
of 4,067 outputs
Outputs of similar age
#299,445
of 349,766 outputs
Outputs of similar age from Journal of Translational Medicine
#71
of 110 outputs
Altmetric has tracked 23,144,579 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 4,067 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 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 349,766 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 110 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.