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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A fully automated pipeline for quantitative genotype calling from next generation sequencing data in autopolyploids
|
|---|---|
| Published in |
BMC Bioinformatics, November 2018
|
| DOI | 10.1186/s12859-018-2433-6 |
| Pubmed ID | |
| Authors |
Guilherme S. Pereira, Antonio Augusto F. Garcia, Gabriel R. A. Margarido |
X Demographics
The data shown below were collected from the profiles of 27 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 7 | 26% |
| United States | 5 | 19% |
| United Kingdom | 3 | 11% |
| Switzerland | 1 | 4% |
| Belgium | 1 | 4% |
| Canada | 1 | 4% |
| Unknown | 9 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 16 | 59% |
| Members of the public | 11 | 41% |
Mendeley readers
The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 84 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 21% |
| Researcher | 17 | 20% |
| Student > Master | 11 | 13% |
| Student > Doctoral Student | 5 | 6% |
| Student > Bachelor | 4 | 5% |
| Other | 11 | 13% |
| Unknown | 18 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 44 | 52% |
| Biochemistry, Genetics and Molecular Biology | 12 | 14% |
| Nursing and Health Professions | 1 | 1% |
| Environmental Science | 1 | 1% |
| Computer Science | 1 | 1% |
| Other | 4 | 5% |
| Unknown | 21 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 13 March 2019.
All research outputs
#1,833,104
of 25,082,430 outputs
Outputs from BMC Bioinformatics
#358
of 7,644 outputs
Outputs of similar age
#38,483
of 357,285 outputs
Outputs of similar age from BMC Bioinformatics
#7
of 134 outputs
Altmetric has tracked 25,082,430 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,644 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 particularly well, scoring higher than 95% 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 357,285 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 89% of its contemporaries.
We're also able to compare this research output to 134 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 95% of its contemporaries.