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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identifying highly informative genetic markers for quantification of ancestry proportions in crossbred sheep populations: implications for choosing optimum levels of admixture
|
|---|---|
| Published in |
BMC Genomic Data, August 2017
|
| DOI | 10.1186/s12863-017-0526-2 |
| Pubmed ID | |
| Authors |
Tesfaye Getachew, Heather J. Huson, Maria Wurzinger, Jörg Burgstaller, Solomon Gizaw, Aynalem Haile, Barbara Rischkowsky, Gottfried Brem, Solomon Antwi Boison, Gábor Mészáros, Ally Okeyo Mwai, Johann Sölkner |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Austria | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 20% |
| Student > Master | 5 | 13% |
| Student > Bachelor | 4 | 10% |
| Lecturer | 3 | 8% |
| Student > Doctoral Student | 2 | 5% |
| Other | 6 | 15% |
| Unknown | 12 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 15 | 38% |
| Medicine and Dentistry | 2 | 5% |
| Arts and Humanities | 1 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 17 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 21 September 2019.
All research outputs
#16,725,651
of 25,382,440 outputs
Outputs from BMC Genomic Data
#604
of 1,204 outputs
Outputs of similar age
#196,833
of 324,941 outputs
Outputs of similar age from BMC Genomic Data
#5
of 15 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
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 324,941 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 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 60% of its contemporaries.