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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine-learning prediction of BMI change among doctors and nurses in North China during the COVID-19 pandemic
|
|---|---|
| Published in |
Frontiers in Nutrition, January 2023
|
| DOI | 10.3389/fnut.2023.1019827 |
| Pubmed ID | |
| Authors |
Qihe Wang, Haiyun Chu, Pengfeng Qu, Haiqin Fang, Dong Liang, Sana Liu, Jinliang Li, Aidong Liu |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 32 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 9% |
| Librarian | 2 | 6% |
| Researcher | 2 | 6% |
| Student > Bachelor | 2 | 6% |
| Student > Master | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 19 | 59% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 13% |
| Social Sciences | 3 | 9% |
| Nursing and Health Professions | 2 | 6% |
| Psychology | 2 | 6% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 19 | 59% |
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 25 February 2023.
All research outputs
#23,784,760
of 26,473,472 outputs
Outputs from Frontiers in Nutrition
#5,796
of 7,660 outputs
Outputs of similar age
#423,705
of 491,920 outputs
Outputs of similar age from Frontiers in Nutrition
#371
of 554 outputs
Altmetric has tracked 26,473,472 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 7,660 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.3. 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 491,920 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 554 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.