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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Prediction of tumor location in prostate cancer tissue using a machine learning system on gene expression data
|
|---|---|
| Published in |
BMC Bioinformatics, March 2020
|
| DOI | 10.1186/s12859-020-3345-9 |
| Pubmed ID | |
| Authors |
Osama Hamzeh, Abedalrhman Alkhateeb, Julia Zheng, Srinath Kandalam, Luis Rueda |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 62 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 15% |
| Student > Ph. D. Student | 8 | 13% |
| Researcher | 7 | 11% |
| Student > Bachelor | 5 | 8% |
| Other | 5 | 8% |
| Other | 7 | 11% |
| Unknown | 21 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 14 | 23% |
| Medicine and Dentistry | 10 | 16% |
| Nursing and Health Professions | 3 | 5% |
| Agricultural and Biological Sciences | 3 | 5% |
| Biochemistry, Genetics and Molecular Biology | 3 | 5% |
| Other | 6 | 10% |
| Unknown | 23 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 09 November 2020.
All research outputs
#3,005,262
of 23,198,445 outputs
Outputs from BMC Bioinformatics
#1,052
of 7,349 outputs
Outputs of similar age
#68,932
of 363,853 outputs
Outputs of similar age from BMC Bioinformatics
#22
of 118 outputs
Altmetric has tracked 23,198,445 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,349 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 85% 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 363,853 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 80% of its contemporaries.
We're also able to compare this research output to 118 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.