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X Demographics
Mendeley readers
Attention Score in Context
| Title |
BARCOSEL: a tool for selecting an optimal barcode set for high-throughput sequencing
|
|---|---|
| Published in |
BMC Bioinformatics, July 2018
|
| DOI | 10.1186/s12859-018-2262-7 |
| Pubmed ID | |
| Authors |
Panu Somervuo, Patrik Koskinen, Peng Mei, Liisa Holm, Petri Auvinen, Lars Paulin |
X Demographics
The data shown below were collected from the profiles of 11 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 | 3 | 27% |
| Netherlands | 2 | 18% |
| United Kingdom | 1 | 9% |
| Finland | 1 | 9% |
| Unknown | 4 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 64% |
| Scientists | 4 | 36% |
Mendeley readers
The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 85 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 22 | 26% |
| Student > Ph. D. Student | 16 | 19% |
| Student > Bachelor | 8 | 9% |
| Student > Master | 7 | 8% |
| Student > Doctoral Student | 3 | 4% |
| Other | 10 | 12% |
| Unknown | 19 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 26 | 31% |
| Agricultural and Biological Sciences | 23 | 27% |
| Immunology and Microbiology | 3 | 4% |
| Medicine and Dentistry | 3 | 4% |
| Linguistics | 2 | 2% |
| Other | 7 | 8% |
| Unknown | 21 | 25% |
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 March 2023.
All research outputs
#2,880,928
of 26,017,215 outputs
Outputs from BMC Bioinformatics
#819
of 7,793 outputs
Outputs of similar age
#55,967
of 344,063 outputs
Outputs of similar age from BMC Bioinformatics
#15
of 104 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 88th 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 89% 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 344,063 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 83% of its contemporaries.
We're also able to compare this research output to 104 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.