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Mendeley readers
Attention Score in Context
| Title |
Novel computational methods for increasing PCR primer design effectiveness in directed sequencing
|
|---|---|
| Published in |
BMC Bioinformatics, April 2008
|
| DOI | 10.1186/1471-2105-9-191 |
| Pubmed ID | |
| Authors |
Kelvin Li, Anushka Brownley, Timothy B Stockwell, Karen Beeson, Tina C McIntosh, Dana Busam, Steve Ferriera, Sean Murphy, Samuel Levy |
Mendeley readers
The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 5% |
| United Kingdom | 3 | 3% |
| Germany | 1 | <1% |
| Zambia | 1 | <1% |
| Brazil | 1 | <1% |
| South Africa | 1 | <1% |
| Chile | 1 | <1% |
| Canada | 1 | <1% |
| France | 1 | <1% |
| Other | 2 | 2% |
| Unknown | 92 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 35 | 32% |
| Student > Ph. D. Student | 15 | 14% |
| Student > Bachelor | 13 | 12% |
| Student > Master | 9 | 8% |
| Student > Postgraduate | 6 | 5% |
| Other | 18 | 16% |
| Unknown | 14 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 60 | 55% |
| Biochemistry, Genetics and Molecular Biology | 18 | 16% |
| Medicine and Dentistry | 5 | 5% |
| Environmental Science | 2 | 2% |
| Computer Science | 2 | 2% |
| Other | 5 | 5% |
| Unknown | 18 | 16% |
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 28 February 2023.
All research outputs
#7,708,493
of 23,445,423 outputs
Outputs from BMC Bioinformatics
#3,067
of 7,389 outputs
Outputs of similar age
#28,922
of 82,886 outputs
Outputs of similar age from BMC Bioinformatics
#19
of 45 outputs
Altmetric has tracked 23,445,423 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 7,389 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 82,886 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.