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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Development and multi-center clinical trials of an up-converting phosphor technology-based point-of-care (UPT-POCT) assay for rapid COVID-19 diagnosis and prediction of protective effects
|
|---|---|
| Published in |
BMC Microbiology, February 2022
|
| DOI | 10.1186/s12866-022-02450-z |
| Pubmed ID | |
| Authors |
Pingping Zhang, Baisheng Li, Yao Wang, Wei Min, Xiaohui Wang, Yugui Zhou, Zhencui Li, Yong Zhao, Huan Zhang, Min Jiang, Huanying Zheng, Chao Yang, Wei Zhang, Le Zuo, Qi Gao, Zhengrong Yang, Yanzhao Li, Tiejian Feng, Changqing Lin, Qinghua Hu, Tie Song, Ruifu Yang |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Venezuela, Bolivarian Republic of | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 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 > Master | 5 | 12% |
| Student > Postgraduate | 4 | 10% |
| Student > Ph. D. Student | 4 | 10% |
| Student > Bachelor | 3 | 7% |
| Lecturer | 1 | 2% |
| Other | 4 | 10% |
| Unknown | 20 | 49% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 12% |
| Nursing and Health Professions | 4 | 10% |
| Engineering | 3 | 7% |
| Social Sciences | 2 | 5% |
| Business, Management and Accounting | 1 | 2% |
| Other | 5 | 12% |
| Unknown | 21 | 51% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 February 2022.
All research outputs
#14,427,381
of 23,106,934 outputs
Outputs from BMC Microbiology
#1,457
of 3,219 outputs
Outputs of similar age
#243,081
of 505,635 outputs
Outputs of similar age from BMC Microbiology
#31
of 70 outputs
Altmetric has tracked 23,106,934 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,219 research outputs from this source. They receive a mean Attention Score of 4.1. 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 505,635 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 70 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 50% of its contemporaries.