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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Integration of RNA-Seq data with heterogeneous microarray data for breast cancer profiling
|
|---|---|
| Published in |
BMC Bioinformatics, November 2017
|
| DOI | 10.1186/s12859-017-1925-0 |
| Pubmed ID | |
| Authors |
Daniel Castillo, Juan Manuel Gálvez, Luis Javier Herrera, Belén San Román, Fernando Rojas, Ignacio Rojas |
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 % |
|---|---|---|
| Japan | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 128 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 29 | 23% |
| Student > Master | 20 | 16% |
| Researcher | 19 | 15% |
| Student > Bachelor | 17 | 13% |
| Student > Doctoral Student | 6 | 5% |
| Other | 11 | 9% |
| Unknown | 26 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 37 | 29% |
| Medicine and Dentistry | 15 | 12% |
| Computer Science | 13 | 10% |
| Agricultural and Biological Sciences | 13 | 10% |
| Immunology and Microbiology | 6 | 5% |
| Other | 15 | 12% |
| Unknown | 29 | 23% |
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 13 March 2024.
All research outputs
#7,125,060
of 25,605,018 outputs
Outputs from BMC Bioinformatics
#2,501
of 7,726 outputs
Outputs of similar age
#128,584
of 447,011 outputs
Outputs of similar age from BMC Bioinformatics
#41
of 150 outputs
Altmetric has tracked 25,605,018 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 7,726 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 66% 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 447,011 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 70% of its contemporaries.
We're also able to compare this research output to 150 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 71% of its contemporaries.