| Title |
Genome-Tagged Amplification (GTA): a PCR-based method to prepare sample-tagged amplicons from hundreds of individuals for next generation sequencing
|
|---|---|
| Published in |
Molecular Breeding, April 2014
|
| DOI | 10.1007/s11032-014-0090-7 |
| Authors |
Thien Ho, Linda Cardle, Xin Xu, Micha Bayer, K. Silvas Jebakumar Prince, Raymond N. Mutava, David F. Marshall, Naeem Syed |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| United States | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 28% |
| Researcher | 6 | 21% |
| Student > Postgraduate | 3 | 10% |
| Student > Master | 3 | 10% |
| Other | 2 | 7% |
| Other | 6 | 21% |
| Unknown | 1 | 3% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 21 | 72% |
| Biochemistry, Genetics and Molecular Biology | 3 | 10% |
| Computer Science | 2 | 7% |
| Psychology | 1 | 3% |
| Medicine and Dentistry | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 1 | 3% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 16 April 2024.
All research outputs
#7,191,175
of 25,784,004 outputs
Outputs from Molecular Breeding
#148
of 664 outputs
Outputs of similar age
#63,590
of 240,838 outputs
Outputs of similar age from Molecular Breeding
#4
of 8 outputs
Altmetric has tracked 25,784,004 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 664 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done well, scoring higher than 77% 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 240,838 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.