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X Demographics
Mendeley readers
Attention Score in Context
| Title |
BatchPrimer3: A high throughput web application for PCR and sequencing primer design
|
|---|---|
| Published in |
BMC Bioinformatics, May 2008
|
| DOI | 10.1186/1471-2105-9-253 |
| Pubmed ID | |
| Authors |
Frank M You, Naxin Huo, Yong Qiang Gu, Ming-cheng Luo, Yaqin Ma, Dave Hane, Gerard R Lazo, Jan Dvorak, Olin D Anderson |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 631 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 1% |
| Germany | 6 | <1% |
| France | 5 | <1% |
| China | 3 | <1% |
| Brazil | 3 | <1% |
| United Kingdom | 3 | <1% |
| Australia | 2 | <1% |
| India | 2 | <1% |
| Mexico | 2 | <1% |
| Other | 21 | 3% |
| Unknown | 576 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 148 | 23% |
| Researcher | 137 | 22% |
| Student > Master | 84 | 13% |
| Student > Bachelor | 48 | 8% |
| Student > Postgraduate | 29 | 5% |
| Other | 95 | 15% |
| Unknown | 90 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 321 | 51% |
| Biochemistry, Genetics and Molecular Biology | 107 | 17% |
| Medicine and Dentistry | 24 | 4% |
| Computer Science | 20 | 3% |
| Environmental Science | 7 | 1% |
| Other | 40 | 6% |
| Unknown | 112 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 09 April 2020.
All research outputs
#2,649,167
of 26,017,215 outputs
Outputs from BMC Bioinformatics
#688
of 7,793 outputs
Outputs of similar age
#7,787
of 102,666 outputs
Outputs of similar age from BMC Bioinformatics
#4
of 46 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 89th 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 particularly well, scoring higher than 91% 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 102,666 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 92% of its contemporaries.
We're also able to compare this research output to 46 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 91% of its contemporaries.