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X Demographics
Mendeley readers
Attention Score in Context
| Title |
FitTetra 2.0 – improved genotype calling for tetraploids with multiple population and parental data support
|
|---|---|
| Published in |
BMC Bioinformatics, March 2019
|
| DOI | 10.1186/s12859-019-2703-y |
| Pubmed ID | |
| Authors |
Konrad Zych, Gerrit Gort, Chris A. Maliepaard, Ritsert C. Jansen, Roeland E. Voorrips |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 29% |
| Germany | 1 | 14% |
| United Kingdom | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 71% |
| Members of the public | 2 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 34% |
| Student > Master | 5 | 13% |
| Professor > Associate Professor | 4 | 11% |
| Student > Ph. D. Student | 3 | 8% |
| Professor | 3 | 8% |
| Other | 2 | 5% |
| Unknown | 8 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 19 | 50% |
| Biochemistry, Genetics and Molecular Biology | 5 | 13% |
| Unknown | 14 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 25 March 2019.
All research outputs
#6,548,934
of 23,344,526 outputs
Outputs from BMC Bioinformatics
#2,509
of 7,387 outputs
Outputs of similar age
#123,719
of 352,509 outputs
Outputs of similar age from BMC Bioinformatics
#57
of 183 outputs
Altmetric has tracked 23,344,526 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 7,387 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 gotten more attention than average, scoring higher than 65% 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 352,509 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 183 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.