| Title |
Leveraging Bayesian networks and information theory to learn risk factors for breast cancer metastasis
|
|---|---|
| Published in |
BMC Bioinformatics, July 2020
|
| DOI | 10.1186/s12859-020-03638-8 |
| Pubmed ID | |
| Authors |
Xia Jiang, Alan Wells, Adam Brufsky, Darshan Shetty, Kahmil Shajihan, Richard E. Neapolitan |
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 % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 16% |
| Student > Doctoral Student | 3 | 12% |
| Student > Ph. D. Student | 3 | 12% |
| Professor > Associate Professor | 2 | 8% |
| Researcher | 2 | 8% |
| Other | 2 | 8% |
| Unknown | 9 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 16% |
| Agricultural and Biological Sciences | 3 | 12% |
| Nursing and Health Professions | 2 | 8% |
| Medicine and Dentistry | 2 | 8% |
| Unspecified | 1 | 4% |
| Other | 3 | 12% |
| Unknown | 10 | 40% |
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 10 July 2020.
All research outputs
#20,628,258
of 23,220,133 outputs
Outputs from BMC Bioinformatics
#6,933
of 7,358 outputs
Outputs of similar age
#339,913
of 397,220 outputs
Outputs of similar age from BMC Bioinformatics
#113
of 120 outputs
Altmetric has tracked 23,220,133 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,358 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 1st percentile – i.e., 1% 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 397,220 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 120 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.