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X Demographics
Mendeley readers
Attention Score in Context
| Title |
BARCRAWL and BARTAB: software tools for the design and implementation of barcoded primers for highly multiplexed DNA sequencing
|
|---|---|
| Published in |
BMC Bioinformatics, October 2009
|
| DOI | 10.1186/1471-2105-10-362 |
| Pubmed ID | |
| Authors |
Daniel N Frank |
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 % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 228 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 10 | 4% |
| Germany | 3 | 1% |
| France | 3 | 1% |
| United Kingdom | 3 | 1% |
| Australia | 2 | <1% |
| Estonia | 2 | <1% |
| Sweden | 1 | <1% |
| India | 1 | <1% |
| Brazil | 1 | <1% |
| Other | 4 | 2% |
| Unknown | 198 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 70 | 31% |
| Student > Ph. D. Student | 52 | 23% |
| Student > Master | 19 | 8% |
| Professor | 16 | 7% |
| Professor > Associate Professor | 12 | 5% |
| Other | 42 | 18% |
| Unknown | 17 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 137 | 60% |
| Biochemistry, Genetics and Molecular Biology | 23 | 10% |
| Environmental Science | 13 | 6% |
| Computer Science | 10 | 4% |
| Medicine and Dentistry | 8 | 4% |
| Other | 19 | 8% |
| Unknown | 18 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 02 January 2024.
All research outputs
#2,736,191
of 26,017,215 outputs
Outputs from BMC Bioinformatics
#752
of 7,793 outputs
Outputs of similar age
#9,384
of 112,910 outputs
Outputs of similar age from BMC Bioinformatics
#6
of 68 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 90% 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 112,910 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 91% of its contemporaries.
We're also able to compare this research output to 68 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.