| Title |
Rapid Detection of Genetic Engineering, Structural Variation, and Antimicrobial Resistance Markers in Bacterial Biothreat Pathogens by Nanopore Sequencing
|
|---|---|
| Published in |
Scientific Reports, September 2019
|
| DOI | 10.1038/s41598-019-49700-1 |
| Pubmed ID | |
| Authors |
Amy S. Gargis, Blake Cherney, Andrew B. Conley, Heather P. McLaughlin, David Sue |
X Demographics
The data shown below were collected from the profiles of 24 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 Kingdom | 3 | 13% |
| United States | 3 | 13% |
| Spain | 2 | 8% |
| Netherlands | 2 | 8% |
| Singapore | 1 | 4% |
| Canada | 1 | 4% |
| Germany | 1 | 4% |
| Venezuela, Bolivarian Republic of | 1 | 4% |
| Luxembourg | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 8 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 54% |
| Scientists | 10 | 42% |
| Unknown | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 77 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 17% |
| Student > Master | 12 | 16% |
| Student > Ph. D. Student | 11 | 14% |
| Student > Bachelor | 5 | 6% |
| Other | 4 | 5% |
| Other | 10 | 13% |
| Unknown | 22 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 21 | 27% |
| Agricultural and Biological Sciences | 10 | 13% |
| Immunology and Microbiology | 6 | 8% |
| Medicine and Dentistry | 4 | 5% |
| Engineering | 3 | 4% |
| Other | 8 | 10% |
| Unknown | 25 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 December 2021.
All research outputs
#2,701,681
of 25,351,219 outputs
Outputs from Scientific Reports
#23,586
of 139,540 outputs
Outputs of similar age
#53,301
of 349,848 outputs
Outputs of similar age from Scientific Reports
#602
of 3,390 outputs
Altmetric has tracked 25,351,219 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 139,540 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.7. This one has done well, scoring higher than 83% 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 349,848 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 84% of its contemporaries.
We're also able to compare this research output to 3,390 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.