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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genome-wide assessment of genetic diversity and population structure insights into admixture and introgression in Chinese indigenous cattle
|
|---|---|
| Published in |
BMC Genomic Data, December 2018
|
| DOI | 10.1186/s12863-018-0705-9 |
| Pubmed ID | |
| Authors |
Wengang Zhang, Xue Gao, Yang Zhang, Yumin Zhao, Jiabao Zhang, Yutang Jia, Bo Zhu, Lingyang Xu, Lupei Zhang, Huijiang Gao, Junya Li, Yan Chen |
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 % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 33% |
| Members of the public | 1 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 18% |
| Student > Ph. D. Student | 5 | 15% |
| Student > Master | 3 | 9% |
| Lecturer | 2 | 6% |
| Student > Doctoral Student | 1 | 3% |
| Other | 4 | 12% |
| Unknown | 13 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 11 | 32% |
| Biochemistry, Genetics and Molecular Biology | 4 | 12% |
| Social Sciences | 2 | 6% |
| Veterinary Science and Veterinary Medicine | 1 | 3% |
| Medicine and Dentistry | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 15 | 44% |
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 24 December 2018.
All research outputs
#16,728,456
of 25,385,509 outputs
Outputs from BMC Genomic Data
#604
of 1,204 outputs
Outputs of similar age
#267,084
of 443,636 outputs
Outputs of similar age from BMC Genomic Data
#11
of 19 outputs
Altmetric has tracked 25,385,509 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 443,636 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.