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X Demographics
Mendeley readers
Attention Score in Context
Title |
Using genetic variants to evaluate the causal effect of serum vitamin D concentration on COVID-19 susceptibility, severity and hospitalization traits: a Mendelian randomization study
|
---|---|
Published in |
Journal of Translational Medicine, July 2021
|
DOI | 10.1186/s12967-021-02973-5 |
Pubmed ID | |
Authors |
Zhiyong Cui, Yun Tian |
X Demographics
The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 5 | 31% |
Spain | 1 | 6% |
United States | 1 | 6% |
United Kingdom | 1 | 6% |
Unknown | 8 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 15 | 94% |
Scientists | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 79 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 7 | 9% |
Student > Master | 6 | 8% |
Other | 4 | 5% |
Student > Bachelor | 4 | 5% |
Librarian | 3 | 4% |
Other | 14 | 18% |
Unknown | 41 | 52% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 13 | 16% |
Biochemistry, Genetics and Molecular Biology | 4 | 5% |
Nursing and Health Professions | 4 | 5% |
Agricultural and Biological Sciences | 3 | 4% |
Engineering | 2 | 3% |
Other | 7 | 9% |
Unknown | 46 | 58% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 22 September 2021.
All research outputs
#1,792,428
of 24,733,536 outputs
Outputs from Journal of Translational Medicine
#314
of 4,464 outputs
Outputs of similar age
#42,684
of 429,553 outputs
Outputs of similar age from Journal of Translational Medicine
#2
of 105 outputs
Altmetric has tracked 24,733,536 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,464 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has done particularly well, scoring higher than 92% 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 429,553 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 90% of its contemporaries.
We're also able to compare this research output to 105 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 99% of its contemporaries.