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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Characterization of METRNβ as a novel biomarker of Coronavirus disease 2019 severity and prognosis
|
|---|---|
| Published in |
Frontiers in immunology, January 2023
|
| DOI | 10.3389/fimmu.2023.1111920 |
| Pubmed ID | |
| Authors |
Xun Gao, Paul Kay-Sheung Chan, Katie Ching-Yau Wong, Rita Wai-Yin Ng, Apple Chung-Man Yeung, Grace Chung-Yan Lui, Lowell Ling, David Shu-Cheong Hui, Danqi Huang, Chun-Kwok Wong |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor > Associate Professor | 2 | 22% |
| Unspecified | 1 | 11% |
| Student > Ph. D. Student | 1 | 11% |
| Student > Bachelor | 1 | 11% |
| Researcher | 1 | 11% |
| Other | 1 | 11% |
| Unknown | 2 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 3 | 33% |
| Biochemistry, Genetics and Molecular Biology | 2 | 22% |
| Medicine and Dentistry | 1 | 11% |
| Engineering | 1 | 11% |
| Unknown | 2 | 22% |
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 31 January 2023.
All research outputs
#21,536,696
of 26,435,181 outputs
Outputs from Frontiers in immunology
#25,849
of 33,212 outputs
Outputs of similar age
#365,903
of 491,517 outputs
Outputs of similar age from Frontiers in immunology
#1,303
of 1,601 outputs
Altmetric has tracked 26,435,181 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 33,212 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. This one is in the 13th percentile – i.e., 13% 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 491,517 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,601 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.