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X Demographics
Mendeley readers
Attention Score in Context
Title |
Automatic discovery of 100-miRNA signature for cancer classification using ensemble feature selection
|
---|---|
Published in |
BMC Bioinformatics, September 2019
|
DOI | 10.1186/s12859-019-3050-8 |
Pubmed ID | |
Authors |
Alejandro Lopez-Rincon, Marlet Martinez-Archundia, Gustavo U. Martinez-Ruiz, Alexander Schoenhuth, Alberto Tonda |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 1 | 17% |
Italy | 1 | 17% |
United Kingdom | 1 | 17% |
France | 1 | 17% |
Unknown | 2 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 5 | 83% |
Members of the public | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 65 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 12 | 18% |
Student > Ph. D. Student | 9 | 14% |
Student > Bachelor | 7 | 11% |
Student > Master | 6 | 9% |
Student > Postgraduate | 4 | 6% |
Other | 5 | 8% |
Unknown | 22 | 34% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 14 | 22% |
Computer Science | 6 | 9% |
Medicine and Dentistry | 5 | 8% |
Engineering | 4 | 6% |
Agricultural and Biological Sciences | 3 | 5% |
Other | 7 | 11% |
Unknown | 26 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 18 August 2023.
All research outputs
#2,695,711
of 24,285,692 outputs
Outputs from BMC Bioinformatics
#802
of 7,512 outputs
Outputs of similar age
#55,677
of 346,578 outputs
Outputs of similar age from BMC Bioinformatics
#17
of 106 outputs
Altmetric has tracked 24,285,692 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,512 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 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 346,578 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 83% of its contemporaries.
We're also able to compare this research output to 106 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.