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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Effects of the Two-Dimensional Structure of Trust on Patient Adherence to Medication and Non-pharmaceutical Treatment: A Cross-Sectional Study of Rural Patients With Essential Hypertension in China
|
|---|---|
| Published in |
Frontiers in Public Health, March 2022
|
| DOI | 10.3389/fpubh.2022.818426 |
| Pubmed ID | |
| Authors |
Yingchao Feng, Shuai Guan, Yanyun Xu, Wenqin Chen, Xianhong Huang, Xiaohe Wang, Meng Zhang |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 22% |
| Student > Bachelor | 3 | 11% |
| Unspecified | 2 | 7% |
| Other | 1 | 4% |
| Unknown | 15 | 56% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 3 | 11% |
| Unspecified | 2 | 7% |
| Medicine and Dentistry | 2 | 7% |
| Business, Management and Accounting | 1 | 4% |
| Computer Science | 1 | 4% |
| Other | 3 | 11% |
| Unknown | 15 | 56% |
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 04 March 2022.
All research outputs
#18,777,896
of 23,269,984 outputs
Outputs from Frontiers in Public Health
#6,103
of 10,747 outputs
Outputs of similar age
#317,519
of 440,180 outputs
Outputs of similar age from Frontiers in Public Health
#483
of 962 outputs
Altmetric has tracked 23,269,984 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,747 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one is in the 25th percentile – i.e., 25% 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 440,180 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 962 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.