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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A comparative study of survival models for breast cancer prognostication revisited: the benefits of multi-gene models
|
|---|---|
| Published in |
BMC Bioinformatics, November 2018
|
| DOI | 10.1186/s12859-018-2430-9 |
| Pubmed ID | |
| Authors |
Michal R. Grzadkowski, Dorota H. Sendorek, Christine P’ng, Vincent Huang, Paul C. Boutros |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 40% |
| United Kingdom | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 60% |
| Members of the public | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 4 | 24% |
| Researcher | 3 | 18% |
| Lecturer | 1 | 6% |
| Student > Doctoral Student | 1 | 6% |
| Student > Ph. D. Student | 1 | 6% |
| Other | 3 | 18% |
| Unknown | 4 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 24% |
| Medicine and Dentistry | 4 | 24% |
| Agricultural and Biological Sciences | 2 | 12% |
| Immunology and Microbiology | 1 | 6% |
| Computer Science | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 5 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 08 November 2018.
All research outputs
#13,374,110
of 23,577,654 outputs
Outputs from BMC Bioinformatics
#3,845
of 7,400 outputs
Outputs of similar age
#167,888
of 353,180 outputs
Outputs of similar age from BMC Bioinformatics
#72
of 140 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,400 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
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 353,180 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 51% 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 is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.