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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Development and validation of new glomerular filtration rate predicting models for Chinese patients with type 2 diabetes
|
|---|---|
| Published in |
Journal of Translational Medicine, September 2015
|
| DOI | 10.1186/s12967-015-0674-y |
| Pubmed ID | |
| Authors |
Jinxia Chen, Hua Tang, Hui Huang, Linsheng Lv, Yanni Wang, Xun Liu, Tanqi Lou |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| Unknown | 37 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 18% |
| Student > Bachelor | 6 | 16% |
| Student > Master | 4 | 11% |
| Researcher | 4 | 11% |
| Student > Doctoral Student | 3 | 8% |
| Other | 5 | 13% |
| Unknown | 9 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 29% |
| Agricultural and Biological Sciences | 4 | 11% |
| Nursing and Health Professions | 4 | 11% |
| Computer Science | 3 | 8% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Other | 5 | 13% |
| Unknown | 10 | 26% |
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 28 September 2015.
All research outputs
#23,196,437
of 25,837,817 outputs
Outputs from Journal of Translational Medicine
#3,942
of 4,701 outputs
Outputs of similar age
#246,898
of 289,148 outputs
Outputs of similar age from Journal of Translational Medicine
#87
of 89 outputs
Altmetric has tracked 25,837,817 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 4,701 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. 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 289,148 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 89 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.