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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Machine Learning Approach for Identifying Gene Biomarkers Guiding the Treatment of Breast Cancer
|
|---|---|
| Published in |
Frontiers in Genetics, March 2019
|
| DOI | 10.3389/fgene.2019.00256 |
| Pubmed ID | |
| Authors |
Ashraf Abou Tabl, Abedalrhman Alkhateeb, Waguih ElMaraghy, Luis Rueda, Alioune Ngom |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Lebanon | 1 | 33% |
| Switzerland | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 170 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 170 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 24 | 14% |
| Student > Master | 24 | 14% |
| Researcher | 16 | 9% |
| Student > Bachelor | 14 | 8% |
| Student > Postgraduate | 10 | 6% |
| Other | 30 | 18% |
| Unknown | 52 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 31 | 18% |
| Biochemistry, Genetics and Molecular Biology | 22 | 13% |
| Agricultural and Biological Sciences | 15 | 9% |
| Medicine and Dentistry | 12 | 7% |
| Engineering | 12 | 7% |
| Other | 22 | 13% |
| Unknown | 56 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 29 July 2021.
All research outputs
#4,135,216
of 23,136,540 outputs
Outputs from Frontiers in Genetics
#1,282
of 12,177 outputs
Outputs of similar age
#87,378
of 351,766 outputs
Outputs of similar age from Frontiers in Genetics
#61
of 359 outputs
Altmetric has tracked 23,136,540 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,177 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 89% 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 351,766 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 75% of its contemporaries.
We're also able to compare this research output to 359 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.