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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Using an untargeted metabolomics approach to analyze serum metabolites in COVID-19 patients with nucleic acid turning negative
|
|---|---|
| Published in |
Frontiers in Pharmacology, August 2022
|
| DOI | 10.3389/fphar.2022.964037 |
| Pubmed ID | |
| Authors |
Wenyu Chen, Ming Yao, Miaomiao Chen, Zhao Ou, Qi Yang, Yanbin He, Ning Zhang, Min Deng, Yuqi Wu, Rongchang Chen, Xiaoli Tan, Ziqing Kong |
X Demographics
The data shown below were collected from the profiles of 68 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 12% |
| United Kingdom | 4 | 6% |
| Canada | 3 | 4% |
| Finland | 3 | 4% |
| Solomon Islands | 2 | 3% |
| Georgia | 1 | 1% |
| Pakistan | 1 | 1% |
| Germany | 1 | 1% |
| Netherlands | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 43 | 63% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 57 | 84% |
| Practitioners (doctors, other healthcare professionals) | 5 | 7% |
| Scientists | 4 | 6% |
| Science communicators (journalists, bloggers, editors) | 2 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 14% |
| Researcher | 3 | 14% |
| Student > Ph. D. Student | 2 | 10% |
| Librarian | 1 | 5% |
| Professor | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 9 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 19% |
| Biochemistry, Genetics and Molecular Biology | 3 | 14% |
| Agricultural and Biological Sciences | 2 | 10% |
| Immunology and Microbiology | 1 | 5% |
| Computer Science | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 10 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 36. 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 September 2022.
All research outputs
#1,160,153
of 25,847,449 outputs
Outputs from Frontiers in Pharmacology
#439
of 20,028 outputs
Outputs of similar age
#25,800
of 431,669 outputs
Outputs of similar age from Frontiers in Pharmacology
#20
of 1,423 outputs
Altmetric has tracked 25,847,449 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 20,028 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done particularly well, scoring higher than 97% 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 431,669 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 1,423 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.