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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A nomogram to predict survival in non-small cell lung cancer patients treated with nivolumab
|
|---|---|
| Published in |
Journal of Translational Medicine, March 2019
|
| DOI | 10.1186/s12967-019-1847-x |
| Pubmed ID | |
| Authors |
Andrea Botticelli, Massimiliano Salati, Francesca Romana Di Pietro, Lidia Strigari, Bruna Cerbelli, Ilaria Grazia Zizzari, Raffaele Giusti, Marco Mazzotta, Federica Mazzuca, Michela Roberto, Patrizia Vici, Laura Pizzuti, Marianna Nuti, Paolo Marchetti |
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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 47 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 11% |
| Student > Master | 5 | 11% |
| Student > Doctoral Student | 5 | 11% |
| Student > Bachelor | 5 | 11% |
| Researcher | 4 | 9% |
| Other | 10 | 21% |
| Unknown | 13 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 20 | 43% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Environmental Science | 2 | 4% |
| Engineering | 2 | 4% |
| Nursing and Health Professions | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 17 | 36% |
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 02 April 2019.
All research outputs
#18,675,458
of 23,138,859 outputs
Outputs from Journal of Translational Medicine
#3,000
of 4,066 outputs
Outputs of similar age
#265,956
of 351,782 outputs
Outputs of similar age from Journal of Translational Medicine
#52
of 104 outputs
Altmetric has tracked 23,138,859 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,066 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 17th percentile – i.e., 17% 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 351,782 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 104 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.