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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Gdaphen, R pipeline to identify the most important qualitative and quantitative predictor variables from phenotypic data
|
|---|---|
| Published in |
BMC Bioinformatics, January 2023
|
| DOI | 10.1186/s12859-022-05111-0 |
| Pubmed ID | |
| Authors |
Maria del Mar Muñiz Moreno, Claire Gavériaux-Ruff, Yann Herault |
X Demographics
The data shown below were collected from the profiles of 21 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 | 5 | 24% |
| India | 2 | 10% |
| France | 1 | 5% |
| Mexico | 1 | 5% |
| Germany | 1 | 5% |
| Sweden | 1 | 5% |
| United Kingdom | 1 | 5% |
| Unknown | 9 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 62% |
| Scientists | 8 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor > Associate Professor | 1 | 11% |
| Unknown | 8 | 89% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 1 | 11% |
| Agricultural and Biological Sciences | 1 | 11% |
| Unknown | 7 | 78% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 06 February 2023.
All research outputs
#3,163,573
of 25,248,299 outputs
Outputs from BMC Bioinformatics
#984
of 7,664 outputs
Outputs of similar age
#63,042
of 470,135 outputs
Outputs of similar age from BMC Bioinformatics
#10
of 125 outputs
Altmetric has tracked 25,248,299 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,664 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 87% 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 470,135 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 125 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 92% of its contemporaries.