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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Modelling upper respiratory viral load dynamics of SARS-CoV-2
|
|---|---|
| Published in |
BMC Medicine, January 2022
|
| DOI | 10.1186/s12916-021-02220-0 |
| Pubmed ID | |
| Authors |
Joseph D. Challenger, Cher Y. Foo, Yue Wu, Ada W. C. Yan, Mahdi Moradi Marjaneh, Felicity Liew, Ryan S. Thwaites, Lucy C. Okell, Aubrey J. Cunnington |
X Demographics
The data shown below were collected from the profiles of 13 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 Kingdom | 5 | 38% |
| Romania | 4 | 31% |
| Unknown | 4 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 46% |
| Scientists | 6 | 46% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 66 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 18% |
| Researcher | 8 | 12% |
| Student > Master | 5 | 8% |
| Other | 3 | 5% |
| Student > Postgraduate | 3 | 5% |
| Other | 5 | 8% |
| Unknown | 30 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 12% |
| Engineering | 5 | 8% |
| Mathematics | 5 | 8% |
| Social Sciences | 4 | 6% |
| Agricultural and Biological Sciences | 3 | 5% |
| Other | 10 | 15% |
| Unknown | 31 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 25. 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 23 October 2023.
All research outputs
#1,529,249
of 25,756,531 outputs
Outputs from BMC Medicine
#1,080
of 4,086 outputs
Outputs of similar age
#37,703
of 521,468 outputs
Outputs of similar age from BMC Medicine
#21
of 104 outputs
Altmetric has tracked 25,756,531 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,086 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.8. This one has gotten more attention than average, scoring higher than 73% 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 521,468 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 92% of its contemporaries.
We're also able to compare this research output to 104 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.