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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Accurate sequence variant genotyping in cattle using variation-aware genome graphs
|
|---|---|
| Published in |
Genetics Selection Evolution, May 2019
|
| DOI | 10.1186/s12711-019-0462-x |
| Pubmed ID | |
| Authors |
Danang Crysnanto, Christine Wurmser, Hubert Pausch |
X Demographics
The data shown below were collected from the profiles of 14 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 Kingdom | 5 | 36% |
| Germany | 2 | 14% |
| United States | 1 | 7% |
| Sweden | 1 | 7% |
| Unknown | 5 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 7 | 50% |
| Members of the public | 7 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 61 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 25% |
| Student > Ph. D. Student | 13 | 21% |
| Student > Master | 10 | 16% |
| Student > Bachelor | 6 | 10% |
| Student > Doctoral Student | 3 | 5% |
| Other | 6 | 10% |
| Unknown | 8 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 29 | 48% |
| Biochemistry, Genetics and Molecular Biology | 15 | 25% |
| Computer Science | 4 | 7% |
| Medicine and Dentistry | 2 | 3% |
| Immunology and Microbiology | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 9 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 12 January 2020.
All research outputs
#4,688,582
of 25,756,911 outputs
Outputs from Genetics Selection Evolution
#100
of 825 outputs
Outputs of similar age
#87,643
of 366,267 outputs
Outputs of similar age from Genetics Selection Evolution
#5
of 20 outputs
Altmetric has tracked 25,756,911 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 825 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done well, scoring higher than 87% 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 366,267 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 76% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.