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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine Learning-Based Epigenetic Classifiers for Axillary Staging of Patients with ER-Positive Early-Stage Breast Cancer
|
|---|---|
| Published in |
Annals of Surgical Oncology, July 2022
|
| DOI | 10.1245/s10434-022-12143-6 |
| Pubmed ID | |
| Authors |
Javier I. J. Orozco, Julie Le, Miquel Ensenyat-Mendez, Jennifer L. Baker, Joanne Weidhaas, Alexandra Klomhaus, Diego M. Marzese, Maggie L. DiNome |
X Demographics
The data shown below were collected from the profiles of 17 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 | 6 | 35% |
| Spain | 6 | 35% |
| Thailand | 1 | 6% |
| Unknown | 4 | 24% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 59% |
| Scientists | 4 | 24% |
| Practitioners (doctors, other healthcare professionals) | 3 | 18% |
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 % |
|---|---|---|
| Other | 1 | 8% |
| Student > Master | 1 | 8% |
| Unknown | 10 | 83% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 1 | 8% |
| Medicine and Dentistry | 1 | 8% |
| Unknown | 10 | 83% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 21 October 2022.
All research outputs
#2,085,575
of 24,654,957 outputs
Outputs from Annals of Surgical Oncology
#433
of 6,971 outputs
Outputs of similar age
#44,756
of 425,165 outputs
Outputs of similar age from Annals of Surgical Oncology
#27
of 324 outputs
Altmetric has tracked 24,654,957 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,971 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. This one has done particularly well, scoring higher than 93% 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 425,165 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 89% of its contemporaries.
We're also able to compare this research output to 324 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 91% of its contemporaries.