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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Simulate_PCR for amplicon prediction and annotation from multiplex, degenerate primers and probes
|
|---|---|
| Published in |
BMC Bioinformatics, July 2014
|
| DOI | 10.1186/1471-2105-15-237 |
| Pubmed ID | |
| Authors |
Shea N Gardner, Tom Slezak |
| Abstract |
Pairing up primers to amplify desired targets and avoid undesired cross reactions can be a combinatorial challenge. Effective prediction of specificity and inclusivity from multiplexed primers and TaqMan®/Luminex® probes is a critical step in PCR design. |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 13% |
| Canada | 1 | 13% |
| Norway | 1 | 13% |
| Unknown | 5 | 63% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 63% |
| Scientists | 3 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 4% |
| Sweden | 1 | 1% |
| Brazil | 1 | 1% |
| Spain | 1 | 1% |
| Denmark | 1 | 1% |
| Unknown | 63 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 20 | 29% |
| Student > Ph. D. Student | 13 | 19% |
| Student > Master | 8 | 11% |
| Other | 5 | 7% |
| Professor > Associate Professor | 3 | 4% |
| Other | 9 | 13% |
| Unknown | 12 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 23 | 33% |
| Biochemistry, Genetics and Molecular Biology | 14 | 20% |
| Medicine and Dentistry | 5 | 7% |
| Computer Science | 4 | 6% |
| Immunology and Microbiology | 2 | 3% |
| Other | 6 | 9% |
| Unknown | 16 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 April 2021.
All research outputs
#4,814,222
of 25,998,826 outputs
Outputs from BMC Bioinformatics
#1,694
of 7,793 outputs
Outputs of similar age
#43,828
of 244,511 outputs
Outputs of similar age from BMC Bioinformatics
#33
of 140 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% 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 well, scoring higher than 78% 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 244,511 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 81% of its contemporaries.
We're also able to compare this research output to 140 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.