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 |
MPprimer: a program for reliable multiplex PCR primer design
|
|---|---|
| Published in |
BMC Bioinformatics, March 2010
|
| DOI | 10.1186/1471-2105-11-143 |
| Pubmed ID | |
| Authors |
Zhiyong Shen, Wubin Qu, Wen Wang, Yiming Lu, Yonghong Wu, Zhifeng Li, Xingyi Hang, Xiaolei Wang, Dongsheng Zhao, Chenggang Zhang |
| Abstract |
Multiplex PCR, defined as the simultaneous amplification of multiple regions of a DNA template or multiple DNA templates using more than one primer set (comprising a forward primer and a reverse primer) in one tube, has been widely used in diagnostic applications of clinical and environmental microbiology studies. However, primer design for multiplex PCR is still a challenging problem and several factors need to be considered. These problems include mis-priming due to nonspecific binding to non-target DNA templates, primer dimerization, and the inability to separate and purify DNA amplicons with similar electrophoretic mobility. |
Mendeley readers
The data shown below were compiled from readership statistics for 342 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 2% |
| France | 5 | 1% |
| United Kingdom | 4 | 1% |
| China | 2 | <1% |
| Belgium | 2 | <1% |
| Brazil | 2 | <1% |
| Armenia | 1 | <1% |
| Italy | 1 | <1% |
| Sweden | 1 | <1% |
| Other | 10 | 3% |
| Unknown | 307 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 85 | 25% |
| Student > Ph. D. Student | 61 | 18% |
| Student > Master | 41 | 12% |
| Student > Bachelor | 30 | 9% |
| Student > Postgraduate | 16 | 5% |
| Other | 59 | 17% |
| Unknown | 50 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 157 | 46% |
| Biochemistry, Genetics and Molecular Biology | 64 | 19% |
| Computer Science | 14 | 4% |
| Medicine and Dentistry | 12 | 4% |
| Immunology and Microbiology | 8 | 2% |
| Other | 32 | 9% |
| Unknown | 55 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 27 December 2023.
All research outputs
#2,683,122
of 23,341,064 outputs
Outputs from BMC Bioinformatics
#848
of 7,387 outputs
Outputs of similar age
#11,799
of 107,650 outputs
Outputs of similar age from BMC Bioinformatics
#6
of 63 outputs
Altmetric has tracked 23,341,064 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,387 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 88% 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 107,650 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 88% of its contemporaries.
We're also able to compare this research output to 63 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 90% of its contemporaries.