| Title |
Investigating Associations Between Depressive Symptoms and Anti-/Pro-Inflammatory Nutrients in an Elderly Population in Northern China: A Bayesian Kernel Machine Regression Approach
|
|---|---|
| Published in |
Journal of Inflammation Research, October 2021
|
| DOI | 10.2147/jir.s330300 |
| Pubmed ID | |
| Authors |
Ruiqiang Li, Wenqiang Zhan, Xin Huang, Limin Zhang, Yan Sun, Zechen Zhang, Wei Bao, Yuxia Ma |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 2 | 14% |
| Student > Ph. D. Student | 2 | 14% |
| Lecturer | 1 | 7% |
| Student > Bachelor | 1 | 7% |
| Researcher | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 7 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 3 | 21% |
| Medicine and Dentistry | 2 | 14% |
| Immunology and Microbiology | 1 | 7% |
| Economics, Econometrics and Finance | 1 | 7% |
| Unknown | 7 | 50% |
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 12 October 2021.
All research outputs
#20,710,927
of 23,310,485 outputs
Outputs from Journal of Inflammation Research
#639
of 828 outputs
Outputs of similar age
#357,734
of 433,854 outputs
Outputs of similar age from Journal of Inflammation Research
#78
of 103 outputs
Altmetric has tracked 23,310,485 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 828 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. 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 433,854 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 103 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.