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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A generalized covariate-adjusted top-scoring pair algorithm with applications to diabetic kidney disease stage classification in the Chronic Renal Insufficiency Cohort (CRIC) Study
|
|---|---|
| Published in |
BMC Bioinformatics, February 2023
|
| DOI | 10.1186/s12859-023-05171-w |
| Pubmed ID | |
| Authors |
Brian Kwan, Tobias Fuhrer, Daniel Montemayor, Jeffery C. Fink, Jiang He, Chi-yuan Hsu, Karen Messer, Robert G. Nelson, Minya Pu, Ana C. Ricardo, Hernan Rincon-Choles, Vallabh O. Shah, Hongping Ye, Jing Zhang, Kumar Sharma, Loki Natarajan |
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 Kingdom | 1 | 20% |
| Sweden | 1 | 20% |
| Unknown | 3 | 60% |
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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 4 | 50% |
| Professor | 1 | 13% |
| Professor > Associate Professor | 1 | 13% |
| Unknown | 2 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 4 | 50% |
| Chemistry | 1 | 13% |
| Engineering | 1 | 13% |
| Unknown | 2 | 25% |
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 22 February 2023.
All research outputs
#14,588,443
of 25,376,589 outputs
Outputs from BMC Bioinformatics
#4,024
of 7,690 outputs
Outputs of similar age
#171,239
of 419,835 outputs
Outputs of similar age from BMC Bioinformatics
#51
of 130 outputs
Altmetric has tracked 25,376,589 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,690 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. 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 419,835 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 58% of its contemporaries.
We're also able to compare this research output to 130 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.