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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Evolutionary origins of the SARS-CoV-2 sarbecovirus lineage responsible for the COVID-19 pandemic
|
|---|---|
| Published in |
bioRxiv, March 2020
|
| DOI | 10.1101/2020.03.30.015008 |
| Authors |
Maciej F Boni, Philippe Lemey, Xiaowei Jiang, Tommy Tsan-Yuk Lam, Blair Perry, Todd Castoe, Andrew Rambaut, David L Robertson |
X Demographics
The data shown below were collected from the profiles of 932 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 | 138 | 15% |
| Spain | 109 | 12% |
| United Kingdom | 60 | 6% |
| Brazil | 18 | 2% |
| Australia | 14 | 2% |
| Germany | 14 | 2% |
| France | 10 | 1% |
| Canada | 9 | <1% |
| India | 8 | <1% |
| Other | 122 | 13% |
| Unknown | 430 | 46% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 704 | 76% |
| Scientists | 190 | 20% |
| Practitioners (doctors, other healthcare professionals) | 20 | 2% |
| Science communicators (journalists, bloggers, editors) | 16 | 2% |
| Unknown | 2 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 200 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 200 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 43 | 22% |
| Student > Bachelor | 24 | 12% |
| Student > Master | 23 | 12% |
| Student > Ph. D. Student | 19 | 10% |
| Professor > Associate Professor | 12 | 6% |
| Other | 43 | 22% |
| Unknown | 36 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 42 | 21% |
| Agricultural and Biological Sciences | 33 | 17% |
| Medicine and Dentistry | 18 | 9% |
| Environmental Science | 12 | 6% |
| Immunology and Microbiology | 9 | 5% |
| Other | 50 | 25% |
| Unknown | 36 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1150. 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 27 July 2022.
All research outputs
#13,058
of 25,807,758 outputs
Outputs from bioRxiv
#28
of 5,690 outputs
Outputs of similar age
#669
of 398,037 outputs
Outputs of similar age from bioRxiv
#9
of 153 outputs
Altmetric has tracked 25,807,758 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,690 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 34.3. 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 398,037 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 99% of its contemporaries.
We're also able to compare this research output to 153 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 94% of its contemporaries.