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X 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 |
X Demographics
The data shown below were collected from the profiles of 41 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 5% |
| Canada | 2 | 5% |
| Japan | 2 | 5% |
| United States | 2 | 5% |
| New Zealand | 1 | 2% |
| United Kingdom | 1 | 2% |
| France | 1 | 2% |
| India | 1 | 2% |
| Indonesia | 1 | 2% |
| Other | 2 | 5% |
| Unknown | 26 | 63% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 37 | 90% |
| Practitioners (doctors, other healthcare professionals) | 2 | 5% |
| Scientists | 1 | 2% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
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 % |
|---|---|---|
| Researcher | 11 | 17% |
| Student > Master | 7 | 11% |
| Student > Doctoral Student | 6 | 9% |
| Student > Ph. D. Student | 6 | 9% |
| Professor | 5 | 8% |
| Other | 11 | 17% |
| Unknown | 20 | 30% |
| 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 | 17% |
| Unknown | 23 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 December 2023.
All research outputs
#2,353,432
of 25,758,211 outputs
Outputs from Genome Medicine
#524
of 1,612 outputs
Outputs of similar age
#60,467
of 455,071 outputs
Outputs of similar age from Genome Medicine
#23
of 57 outputs
Altmetric has tracked 25,758,211 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 1,612 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.1. This one has gotten more attention than average, scoring higher than 67% 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 455,071 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 59% of its contemporaries.