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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Influence factors analysis of COVID-19 Prevention behavior of chinese Citizens: a path analysis based on the hypothetical model
|
|---|---|
| Published in |
BMC Public Health, June 2022
|
| DOI | 10.1186/s12889-022-13514-0 |
| Pubmed ID | |
| Authors |
Yun-shan Li, Rui Wang, Yu-qian Deng, Xiao-rong Jia, Shan-peng Li, Li-ping Zhao, Xin-ying Sun, Fei Qi, Yi-bo Wu |
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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 19% |
| Student > Master | 3 | 19% |
| Student > Bachelor | 1 | 6% |
| Librarian | 1 | 6% |
| Researcher | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 7 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 3 | 19% |
| Medicine and Dentistry | 3 | 19% |
| Social Sciences | 1 | 6% |
| Unknown | 9 | 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 02 June 2022.
All research outputs
#15,687,628
of 23,312,088 outputs
Outputs from BMC Public Health
#11,589
of 15,198 outputs
Outputs of similar age
#248,246
of 444,036 outputs
Outputs of similar age from BMC Public Health
#319
of 450 outputs
Altmetric has tracked 23,312,088 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 15,198 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. This one is in the 16th percentile – i.e., 16% 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 444,036 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 450 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.