| Title |
Digital Display Precision Predictor: the prototype of a global biomarker model to guide treatments with targeted therapy and predict progression-free survival
|
|---|---|
| Published in |
npj Precision Oncology, April 2021
|
| DOI | 10.1038/s41698-021-00171-6 |
| Pubmed ID | |
| Authors |
Vladimir Lazar, Shai Magidi, Nicolas Girard, Alexia Savignoni, Jean-François Martini, Giorgio Massimini, Catherine Bresson, Raanan Berger, Amir Onn, Jacques Raynaud, Fanny Wunder, Ioana Berindan-Neagoe, Marina Sekacheva, Irene Braña, Josep Tabernero, Enriqueta Felip, Angel Porgador, Claudia Kleinman, Gerald Batist, Benjamin Solomon, Apostolia Maria Tsimberidou, Jean-Charles Soria, Eitan Rubin, Razelle Kurzrock, Richard L. Schilsky |
X Demographics
The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ireland | 1 | 6% |
| United Kingdom | 1 | 6% |
| Australia | 1 | 6% |
| Colombia | 1 | 6% |
| Germany | 1 | 6% |
| Spain | 1 | 6% |
| United States | 1 | 6% |
| France | 1 | 6% |
| Unknown | 9 | 53% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 59% |
| Scientists | 5 | 29% |
| Practitioners (doctors, other healthcare professionals) | 2 | 12% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 4 | 17% |
| Researcher | 3 | 13% |
| Student > Ph. D. Student | 2 | 9% |
| Student > Master | 2 | 9% |
| Lecturer | 1 | 4% |
| Other | 4 | 17% |
| Unknown | 7 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 30% |
| Agricultural and Biological Sciences | 3 | 13% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Nursing and Health Professions | 1 | 4% |
| Social Sciences | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 9 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 48. 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 23 November 2021.
All research outputs
#858,081
of 25,200,621 outputs
Outputs from npj Precision Oncology
#35
of 449 outputs
Outputs of similar age
#23,067
of 434,083 outputs
Outputs of similar age from npj Precision Oncology
#2
of 31 outputs
Altmetric has tracked 25,200,621 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 449 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.1. This one has done particularly well, scoring higher than 92% of its peers.
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 434,083 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.