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Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
Profiling SARS-CoV-2 mutation fingerprints that range from the viral pangenome to individual infection quasispecies
|
|---|---|
| Published in |
Genome Medicine, April 2021
|
| DOI | 10.1186/s13073-021-00882-2 |
| Pubmed ID | |
| Authors |
Billy T. Lau, Dmitri Pavlichin, Anna C. Hooker, Alison Almeda, Giwon Shin, Jiamin Chen, Malaya K. Sahoo, Chun Hong Huang, Benjamin A. Pinsky, Ho Joon Lee, Hanlee P. Ji |
Twitter Demographics
The data shown below were collected from the profiles of 36 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 2 | 6% |
| United Kingdom | 2 | 6% |
| United States | 2 | 6% |
| New Zealand | 1 | 3% |
| Indonesia | 1 | 3% |
| Germany | 1 | 3% |
| India | 1 | 3% |
| Australia | 1 | 3% |
| Bosnia and Herzegovina | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 23 | 64% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 31 | 86% |
| Practitioners (doctors, other healthcare professionals) | 2 | 6% |
| Scientists | 2 | 6% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 67 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 16% |
| Student > Master | 7 | 10% |
| Student > Doctoral Student | 6 | 9% |
| Student > Ph. D. Student | 6 | 9% |
| Professor | 5 | 7% |
| Other | 11 | 16% |
| Unknown | 21 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 18% |
| Biochemistry, Genetics and Molecular Biology | 12 | 18% |
| Social Sciences | 4 | 6% |
| Immunology and Microbiology | 2 | 3% |
| Computer Science | 2 | 3% |
| Other | 11 | 16% |
| Unknown | 24 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 24 August 2023.
All research outputs
#2,329,641
of 24,503,201 outputs
Outputs from Genome Medicine
#528
of 1,512 outputs
Outputs of similar age
#59,171
of 430,453 outputs
Outputs of similar age from Genome Medicine
#23
of 57 outputs
Altmetric has tracked 24,503,201 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,512 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.1. This one has gotten more attention than average, scoring higher than 65% 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 430,453 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.