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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identification of a minimum number of genes to predict triple-negative breast cancer subgroups from gene expression profiles
|
|---|---|
| Published in |
Human Genomics, December 2022
|
| DOI | 10.1186/s40246-022-00436-6 |
| Pubmed ID | |
| Authors |
Laila Akhouayri, Paola Ostano, Maurizia Mello-Grand, Ilaria Gregnanin, Francesca Crivelli, Sara Laurora, Daniele Liscia, Francesco Leone, Angela Santoro, Antonino Mulè, Donatella Guarino, Claudia Maggiore, Angela Carlino, Stefano Magno, Maria Scatolini, Alba Di Leone, Riccardo Masetti, Giovanna Chiorino |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Saudi Arabia | 1 | 20% |
| United States | 1 | 20% |
| Italy | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 40% |
| Members of the public | 2 | 40% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 17% |
| Professor > Associate Professor | 1 | 8% |
| Student > Doctoral Student | 1 | 8% |
| Unknown | 8 | 67% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 25% |
| Biochemistry, Genetics and Molecular Biology | 1 | 8% |
| Unknown | 8 | 67% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 24 May 2023.
All research outputs
#8,483,581
of 25,392,582 outputs
Outputs from Human Genomics
#208
of 564 outputs
Outputs of similar age
#159,075
of 478,305 outputs
Outputs of similar age from Human Genomics
#5
of 18 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 564 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has gotten more attention than average, scoring higher than 62% 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 478,305 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 66% of its contemporaries.
We're also able to compare this research output to 18 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 72% of its contemporaries.