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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Middle-aged and elderly users’ continuous usage intention of health maintenance-oriented WeChat official accounts: empirical study based on a hybrid model in China
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, September 2021
|
| DOI | 10.1186/s12911-021-01625-4 |
| Pubmed ID | |
| Authors |
Lin Xu, Pengfei Li, Xiaorong Hou, Hongfan Yu, Tingting Tang, Ting Liu, Shoushu Xiang, Xiaoqian Wu, Cheng Huang |
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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 41 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 4 | 10% |
| Student > Ph. D. Student | 4 | 10% |
| Researcher | 4 | 10% |
| Lecturer | 3 | 7% |
| Student > Master | 2 | 5% |
| Other | 5 | 12% |
| Unknown | 19 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 5 | 12% |
| Nursing and Health Professions | 3 | 7% |
| Medicine and Dentistry | 2 | 5% |
| Business, Management and Accounting | 2 | 5% |
| Psychology | 2 | 5% |
| Other | 6 | 15% |
| Unknown | 21 | 51% |
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 September 2021.
All research outputs
#18,809,260
of 23,310,485 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,598
of 2,024 outputs
Outputs of similar age
#311,287
of 429,465 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#41
of 53 outputs
Altmetric has tracked 23,310,485 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 2,024 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 9th percentile – i.e., 9% 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 429,465 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 53 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.