You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Attention Score in Context
| Title |
LOMA: A fast method to generate efficient tagged-random primers despite amplification bias of random PCR on pathogens
|
|---|---|
| Published in |
BMC Bioinformatics, September 2008
|
| DOI | 10.1186/1471-2105-9-368 |
| Pubmed ID | |
| Authors |
Wah Heng Lee, Christopher W Wong, Wan Yee Leong, Lance D Miller, Wing Kin Sung |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Peru | 1 | 4% |
| Unknown | 27 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 29% |
| Student > Ph. D. Student | 8 | 29% |
| Student > Master | 3 | 11% |
| Other | 2 | 7% |
| Student > Doctoral Student | 1 | 4% |
| Other | 3 | 11% |
| Unknown | 3 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 14 | 50% |
| Biochemistry, Genetics and Molecular Biology | 6 | 21% |
| Medicine and Dentistry | 2 | 7% |
| Veterinary Science and Veterinary Medicine | 1 | 4% |
| Psychology | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 3 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 March 2013.
All research outputs
#7,550,598
of 23,035,022 outputs
Outputs from BMC Bioinformatics
#3,042
of 7,318 outputs
Outputs of similar age
#31,627
of 88,030 outputs
Outputs of similar age from BMC Bioinformatics
#16
of 34 outputs
Altmetric has tracked 23,035,022 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,318 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 50% 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 88,030 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.