| Title |
VADR: validation and annotation of virus sequence submissions to GenBank
|
|---|---|
| Published in |
BMC Bioinformatics, May 2020
|
| DOI | 10.1186/s12859-020-3537-3 |
| Pubmed ID | |
| Authors |
Alejandro A. Schäffer, Eneida L. Hatcher, Linda Yankie, Lara Shonkwiler, J. Rodney Brister, Ilene Karsch-Mizrachi, Eric P. Nawrocki |
X Demographics
The data shown below were collected from the profiles of 4 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 | 1 | 25% |
| Sweden | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 112 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 15% |
| Student > Ph. D. Student | 15 | 13% |
| Student > Master | 9 | 8% |
| Student > Bachelor | 8 | 7% |
| Student > Doctoral Student | 7 | 6% |
| Other | 20 | 18% |
| Unknown | 36 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 18 | 16% |
| Biochemistry, Genetics and Molecular Biology | 16 | 14% |
| Agricultural and Biological Sciences | 12 | 11% |
| Social Sciences | 6 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 3% |
| Other | 14 | 13% |
| Unknown | 43 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 29. 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 February 2023.
All research outputs
#1,385,541
of 25,998,826 outputs
Outputs from BMC Bioinformatics
#164
of 7,793 outputs
Outputs of similar age
#39,806
of 429,638 outputs
Outputs of similar age from BMC Bioinformatics
#2
of 127 outputs
Altmetric has tracked 25,998,826 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 7,793 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. 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 429,638 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 90% of its contemporaries.
We're also able to compare this research output to 127 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 98% of its contemporaries.