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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Breast cancer prediction with transcriptome profiling using feature selection and machine learning methods
|
|---|---|
| Published in |
BMC Bioinformatics, October 2022
|
| DOI | 10.1186/s12859-022-04965-8 |
| Pubmed ID | |
| Authors |
Eskandar Taghizadeh, Sahel Heydarheydari, Alihossein Saberi, Shabnam JafarpoorNesheli, Seyed Masoud Rezaeijo |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Philippines | 1 | 9% |
| India | 1 | 9% |
| Sweden | 1 | 9% |
| United Kingdom | 1 | 9% |
| United States | 1 | 9% |
| Netherlands | 1 | 9% |
| Unknown | 5 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 55% |
| Scientists | 4 | 36% |
| Practitioners (doctors, other healthcare professionals) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 48 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 4 | 8% |
| Unspecified | 3 | 6% |
| Professor > Associate Professor | 3 | 6% |
| Other | 3 | 6% |
| Lecturer | 3 | 6% |
| Other | 10 | 21% |
| Unknown | 22 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 15% |
| Medicine and Dentistry | 6 | 13% |
| Engineering | 5 | 10% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Nursing and Health Professions | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 25 | 52% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 03 October 2022.
All research outputs
#6,649,988
of 24,557,820 outputs
Outputs from BMC Bioinformatics
#2,373
of 7,553 outputs
Outputs of similar age
#121,476
of 430,575 outputs
Outputs of similar age from BMC Bioinformatics
#29
of 140 outputs
Altmetric has tracked 24,557,820 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 7,553 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 gotten more attention than average, scoring higher than 68% 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 430,575 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 71% of its contemporaries.
We're also able to compare this research output to 140 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.