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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Predicting Renal Cancer Recurrence: Defining Limitations of Existing Prognostic Models With Prospective Trial-Based Validation.
|
|---|---|
| Published in |
Journal of Clinical Oncology, June 2019
|
| DOI | 10.1200/jco.19.00107 |
| Pubmed ID | |
| Authors |
Andres F Correa, Opeyemi Jegede, Naomi B Haas, Keith T Flaherty, Michael R Pins, Edward M Messing, Judith Manola, Christopher G Wood, Christopher J Kane, Michael A S Jewett, Janice P Dutcher, Robert S DiPaola, Michael A Carducci, Robert G Uzzo |
X Demographics
The data shown below were collected from the profiles of 36 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 17 | 47% |
| Spain | 4 | 11% |
| Brazil | 2 | 6% |
| Colombia | 1 | 3% |
| France | 1 | 3% |
| Mexico | 1 | 3% |
| Japan | 1 | 3% |
| United Kingdom | 1 | 3% |
| Unknown | 8 | 22% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 19 | 53% |
| Scientists | 8 | 22% |
| Practitioners (doctors, other healthcare professionals) | 7 | 19% |
| Science communicators (journalists, bloggers, editors) | 2 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 54 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 20% |
| Other | 4 | 7% |
| Student > Doctoral Student | 4 | 7% |
| Student > Bachelor | 3 | 6% |
| Student > Ph. D. Student | 3 | 6% |
| Other | 9 | 17% |
| Unknown | 20 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 22 | 41% |
| Agricultural and Biological Sciences | 2 | 4% |
| Nursing and Health Professions | 2 | 4% |
| Computer Science | 2 | 4% |
| Mathematics | 1 | 2% |
| Other | 5 | 9% |
| Unknown | 20 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 76. 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 28 April 2022.
All research outputs
#572,323
of 26,017,215 outputs
Outputs from Journal of Clinical Oncology
#1,226
of 22,362 outputs
Outputs of similar age
#12,170
of 370,970 outputs
Outputs of similar age from Journal of Clinical Oncology
#33
of 602 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 22,362 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.1. This one has done particularly well, scoring higher than 94% 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 370,970 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 96% of its contemporaries.
We're also able to compare this research output to 602 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 94% of its contemporaries.