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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identification of a Transcriptomic Prognostic Signature by Machine Learning Using a Combination of Small Cohorts of Prostate Cancer
|
|---|---|
| Published in |
Frontiers in Genetics, November 2020
|
| DOI | 10.3389/fgene.2020.550894 |
| Pubmed ID | |
| Authors |
Benjamin Vittrant, Mickael Leclercq, Marie-Laure Martin-Magniette, Colin Collins, Alain Bergeron, Yves Fradet, Arnaud Droit |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 2 | 50% |
| Switzerland | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 32 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 5 | 16% |
| Researcher | 5 | 16% |
| Student > Master | 5 | 16% |
| Professor | 2 | 6% |
| Other | 2 | 6% |
| Other | 3 | 9% |
| Unknown | 10 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 16% |
| Computer Science | 5 | 16% |
| Medicine and Dentistry | 4 | 13% |
| Engineering | 2 | 6% |
| Economics, Econometrics and Finance | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 12 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 30 December 2020.
All research outputs
#13,201,027
of 23,263,851 outputs
Outputs from Frontiers in Genetics
#2,817
of 12,290 outputs
Outputs of similar age
#227,298
of 508,990 outputs
Outputs of similar age from Frontiers in Genetics
#92
of 430 outputs
Altmetric has tracked 23,263,851 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,290 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 75% 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 508,990 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 54% of its contemporaries.
We're also able to compare this research output to 430 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.