| Title |
Chronic Kidney Disease stratification using office visit records: Handling data imbalance via hierarchical meta-classification
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, December 2018
|
| DOI | 10.1186/s12911-018-0675-x |
| Pubmed ID | |
| Authors |
Moumita Bhattacharya, Claudine Jurkovitz, Hagit Shatkay |
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 States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 17% |
| Researcher | 4 | 11% |
| Student > Bachelor | 3 | 8% |
| Student > Master | 3 | 8% |
| Other | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 16 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 17% |
| Medicine and Dentistry | 5 | 14% |
| Economics, Econometrics and Finance | 1 | 3% |
| Psychology | 1 | 3% |
| Business, Management and Accounting | 1 | 3% |
| Other | 4 | 11% |
| Unknown | 18 | 50% |
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 12 December 2018.
All research outputs
#15,554,476
of 23,117,738 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,329
of 2,013 outputs
Outputs of similar age
#264,595
of 436,996 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#34
of 51 outputs
Altmetric has tracked 23,117,738 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 2,013 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 24th percentile – i.e., 24% 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 436,996 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 51 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.