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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Survival time prediction by integrating cox proportional hazards network and distribution function network
|
|---|---|
| Published in |
BMC Bioinformatics, April 2021
|
| DOI | 10.1186/s12859-021-04103-w |
| Pubmed ID | |
| Authors |
Eu-Tteum Baek, Hyung Jeong Yang, Soo Hyung Kim, Guee Sang Lee, In-Jae Oh, Sae-Ryung Kang, Jung-Joon Min |
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 % |
|---|---|---|
| India | 1 | 33% |
| Sweden | 1 | 33% |
| United Kingdom | 1 | 33% |
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 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 49 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 18% |
| Student > Master | 6 | 12% |
| Researcher | 4 | 8% |
| Unspecified | 3 | 6% |
| Other | 2 | 4% |
| Other | 7 | 14% |
| Unknown | 18 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 12% |
| Medicine and Dentistry | 6 | 12% |
| Mathematics | 5 | 10% |
| Biochemistry, Genetics and Molecular Biology | 3 | 6% |
| Engineering | 3 | 6% |
| Other | 6 | 12% |
| Unknown | 20 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 16 April 2021.
All research outputs
#15,685,238
of 23,308,124 outputs
Outputs from BMC Bioinformatics
#5,478
of 7,380 outputs
Outputs of similar age
#261,627
of 435,301 outputs
Outputs of similar age from BMC Bioinformatics
#167
of 179 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,380 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 18th percentile – i.e., 18% 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 435,301 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 179 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.