| Title |
The Use of Multidimensional Nomial Logistic Model and Structural Equation Model in the Validation of the 14-Item Health-Literacy Scale in Chinese Patients Living with Type 2 Diabetes.
|
|---|---|
| Published in |
Risk Management and Healthcare Policy, August 2023
|
| DOI | 10.2147/rmhp.s419879 |
| Pubmed ID | |
| Authors |
JianBo Wu, ZhuJun Tao, NingZhou Gao, Jie Shen, Zhi-Long Chen, HaiFeng Zhou, SongBai Zheng |
X Demographics
The data shown below were collected from the profiles of 2 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 States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 1 | 25% |
| Unknown | 3 | 75% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 1 | 25% |
| Unknown | 3 | 75% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 24 August 2023.
All research outputs
#14,829,650
of 24,857,051 outputs
Outputs from Risk Management and Healthcare Policy
#283
of 708 outputs
Outputs of similar age
#146,464
of 341,853 outputs
Outputs of similar age from Risk Management and Healthcare Policy
#4
of 18 outputs
Altmetric has tracked 24,857,051 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 708 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one has gotten more attention than average, scoring higher than 57% of its peers.
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 341,853 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 55% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.