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X Demographics
Mendeley readers
Attention Score in Context
| Title |
SARS-CoV-2 before and after Omicron: two different viruses and two different diseases?
|
|---|---|
| Published in |
Journal of Translational Medicine, April 2023
|
| DOI | 10.1186/s12967-023-04095-6 |
| Pubmed ID | |
| Authors |
Renata Gili, Roberto Burioni |
| Abstract |
For the first time in the history of medicine, it has been possible to describe-after a spillover-the evolution of a new human virus spreading in a non-immune population. This allowed not only to observe the subsequent emersion of variants endowed with features providing the virus with an evolutionary advantage, but also the shift of the pathways of virus replication and the acquisition of immunoevasive features. These characteristics had a remarkable influence on the diffusion of the SARS-CoV-2 and on the clinical presentation and prognosis of COVID-19, aspects that are described and commented in this review. |
X Demographics
The data shown below were collected from the profiles of 36 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 10 | 28% |
| France | 3 | 8% |
| United States | 2 | 6% |
| Mauritius | 1 | 3% |
| Belgium | 1 | 3% |
| New Zealand | 1 | 3% |
| Unknown | 18 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 34 | 94% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
| Scientists | 1 | 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 % |
|---|---|---|
| Professor | 2 | 10% |
| Student > Master | 2 | 10% |
| Student > Postgraduate | 2 | 10% |
| Researcher | 2 | 10% |
| Student > Ph. D. Student | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 12 | 57% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 14% |
| Medicine and Dentistry | 3 | 14% |
| Immunology and Microbiology | 2 | 10% |
| Agricultural and Biological Sciences | 1 | 5% |
| Unknown | 12 | 57% |
Attention Score in Context
This research output has an Altmetric Attention Score of 78. 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 06 March 2024.
All research outputs
#554,283
of 25,701,027 outputs
Outputs from Journal of Translational Medicine
#120
of 4,698 outputs
Outputs of similar age
#12,426
of 422,371 outputs
Outputs of similar age from Journal of Translational Medicine
#5
of 126 outputs
Altmetric has tracked 25,701,027 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,698 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. 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 422,371 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 97% of its contemporaries.
We're also able to compare this research output to 126 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 96% of its contemporaries.