↓ Skip to main content

Combinations of immuno-checkpoint inhibitors predictive biomarkers only marginally improve their individual accuracy

Overview of attention for article published in Journal of Translational Medicine, April 2019
Altmetric Badge

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
41 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
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

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 27%
Student > Bachelor 6 15%
Student > Master 5 12%
Student > Ph. D. Student 3 7%
Student > Doctoral Student 2 5%
Other 3 7%
Unknown 11 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 22%
Agricultural and Biological Sciences 6 15%
Immunology and Microbiology 4 10%
Medicine and Dentistry 3 7%
Pharmacology, Toxicology and Pharmaceutical Science 3 7%
Other 3 7%
Unknown 13 32%

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
#14,584,228
of 16,534,657 outputs
Outputs from Journal of Translational Medicine
#2,734
of 3,098 outputs
Outputs of similar age
#230,808
of 273,374 outputs
Outputs of similar age from Journal of Translational Medicine
#1
of 1 outputs
Altmetric has tracked 16,534,657 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 3,098 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. 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 273,374 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 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them