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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The machine learning model based on trajectory analysis of ribonucleic acid test results predicts the necessity of quarantine in recurrently positive patients with SARS-CoV-2 infection
|
|---|---|
| Published in |
Frontiers in Public Health, November 2022
|
| DOI | 10.3389/fpubh.2022.1011277 |
| Pubmed ID | |
| Authors |
Qi-Xiang Song, Zhichao Jin, Weilin Fang, Chenxu Zhang, Chi Peng, Min Chen, Xu Zhuang, Wei Zhai, Jun Wang, Min Cao, Shun Wei, Xia Cai, Lei Pan, Qingrong Xu, Junhua Zheng |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Comoros | 1 | 25% |
| United Kingdom | 1 | 25% |
| Switzerland | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 1 | 9% |
| Lecturer | 1 | 9% |
| Student > Postgraduate | 1 | 9% |
| Unknown | 8 | 73% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 1 | 9% |
| Computer Science | 1 | 9% |
| Economics, Econometrics and Finance | 1 | 9% |
| Unknown | 8 | 73% |
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 05 December 2022.
All research outputs
#16,132,107
of 23,932,398 outputs
Outputs from Frontiers in Public Health
#5,258
of 11,607 outputs
Outputs of similar age
#252,960
of 465,728 outputs
Outputs of similar age from Frontiers in Public Health
#511
of 1,374 outputs
Altmetric has tracked 23,932,398 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 11,607 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has gotten more attention than average, scoring higher than 50% of its peers.
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 465,728 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,374 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.