| Title |
A Sequel to Sanger: amplicon sequencing that scales
|
|---|---|
| Published in |
BMC Genomics, March 2018
|
| DOI | 10.1186/s12864-018-4611-3 |
| Pubmed ID | |
| Authors |
Paul D. N. Hebert, Thomas W. A. Braukmann, Sean W. J. Prosser, Sujeevan Ratnasingham, Jeremy R. deWaard, Natalia V. Ivanova, Daniel H. Janzen, Winnie Hallwachs, Suresh Naik, Jayme E. Sones, Evgeny V. Zakharov |
X Demographics
The data shown below were collected from the profiles of 67 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 | 16 | 24% |
| Canada | 5 | 7% |
| United Kingdom | 5 | 7% |
| Australia | 4 | 6% |
| Netherlands | 2 | 3% |
| Malaysia | 1 | 1% |
| Thailand | 1 | 1% |
| Cameroon | 1 | 1% |
| Germany | 1 | 1% |
| Other | 6 | 9% |
| Unknown | 25 | 37% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 35 | 52% |
| Members of the public | 31 | 46% |
| Practitioners (doctors, other healthcare professionals) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 278 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 278 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 67 | 24% |
| Student > Ph. D. Student | 48 | 17% |
| Student > Master | 38 | 14% |
| Student > Bachelor | 25 | 9% |
| Professor | 13 | 5% |
| Other | 37 | 13% |
| Unknown | 50 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 111 | 40% |
| Biochemistry, Genetics and Molecular Biology | 67 | 24% |
| Environmental Science | 13 | 5% |
| Medicine and Dentistry | 5 | 2% |
| Immunology and Microbiology | 3 | 1% |
| Other | 22 | 8% |
| Unknown | 57 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 41. 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 20 March 2023.
All research outputs
#1,020,289
of 25,837,817 outputs
Outputs from BMC Genomics
#130
of 11,320 outputs
Outputs of similar age
#22,602
of 346,712 outputs
Outputs of similar age from BMC Genomics
#3
of 217 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,320 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 98% 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 346,712 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 93% of its contemporaries.
We're also able to compare this research output to 217 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.