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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Experimental and computational modeling for signature and biomarker discovery of renal cell carcinoma progression
|
|---|---|
| Published in |
Molecular Cancer, October 2021
|
| DOI | 10.1186/s12943-021-01416-5 |
| Pubmed ID | |
| Authors |
Lindsay S. Cooley, Justine Rudewicz, Wilfried Souleyreau, Andrea Emanuelli, Arturo Alvarez-Arenas, Kim Clarke, Francesco Falciani, Maeva Dufies, Diether Lambrechts, Elodie Modave, Domitille Chalopin-Fillot, Raphael Pineau, Damien Ambrosetti, Jean-Christophe Bernhard, Alain Ravaud, Sylvie Négrier, Jean-Marc Ferrero, Gilles Pagès, Sebastien Benzekry, Macha Nikolski, Andreas Bikfalvi |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 3 | 43% |
| Sweden | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Scientists | 2 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 16% |
| Researcher | 3 | 12% |
| Other | 1 | 4% |
| Professor | 1 | 4% |
| Student > Doctoral Student | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 13 | 52% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 3 | 12% |
| Medicine and Dentistry | 3 | 12% |
| Nursing and Health Professions | 2 | 8% |
| Biochemistry, Genetics and Molecular Biology | 2 | 8% |
| Engineering | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 14 | 56% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 08 November 2021.
All research outputs
#6,400,434
of 23,310,485 outputs
Outputs from Molecular Cancer
#445
of 1,757 outputs
Outputs of similar age
#127,982
of 439,624 outputs
Outputs of similar age from Molecular Cancer
#10
of 35 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,757 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one has gotten more attention than average, scoring higher than 74% 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 439,624 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.