| Title |
Predicting outcomes in non-muscle invasive (Ta/T1) bladder cancer: the role of molecular grade based on luminal/basal phenotype
|
|---|---|
| Published in |
Virchows Archiv, June 2019
|
| DOI | 10.1007/s00428-019-02593-x |
| Pubmed ID | |
| Authors |
Jorge Rebola, Pedro Aguiar, Ana Blanca, Rodolfo Montironi, Alessia Cimadamore, Liang Cheng, Vanessa Henriques, Paula Lobato-Faria, Antonio Lopez-Beltran |
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 % |
|---|---|---|
| Spain | 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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 39 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 13% |
| Researcher | 5 | 13% |
| Other | 4 | 10% |
| Student > Bachelor | 4 | 10% |
| Student > Doctoral Student | 2 | 5% |
| Other | 5 | 13% |
| Unknown | 14 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 28% |
| Biochemistry, Genetics and Molecular Biology | 3 | 8% |
| Nursing and Health Professions | 2 | 5% |
| Mathematics | 1 | 3% |
| Computer Science | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 18 | 46% |
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 29 July 2019.
All research outputs
#18,686,631
of 23,153,184 outputs
Outputs from Virchows Archiv
#1,568
of 1,983 outputs
Outputs of similar age
#261,300
of 350,950 outputs
Outputs of similar age from Virchows Archiv
#20
of 30 outputs
Altmetric has tracked 23,153,184 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 1,983 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 11th percentile – i.e., 11% 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 350,950 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.