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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Best Linear Unbiased Prediction of Genomic Breeding Values Using a Trait-Specific Marker-Derived Relationship Matrix
|
|---|---|
| Published in |
PLOS ONE, September 2010
|
| DOI | 10.1371/journal.pone.0012648 |
| Pubmed ID | |
| Authors |
Zhe Zhang, Jianfeng Liu, Xiangdong Ding, Piter Bijma, Dirk-Jan de Koning, Qin Zhang |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 313 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 2% |
| Brazil | 3 | <1% |
| France | 2 | <1% |
| Poland | 2 | <1% |
| Canada | 2 | <1% |
| Australia | 1 | <1% |
| Finland | 1 | <1% |
| Ghana | 1 | <1% |
| United Kingdom | 1 | <1% |
| Other | 6 | 2% |
| Unknown | 289 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 78 | 25% |
| Researcher | 74 | 24% |
| Student > Master | 40 | 13% |
| Student > Doctoral Student | 31 | 10% |
| Other | 12 | 4% |
| Other | 43 | 14% |
| Unknown | 35 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 205 | 65% |
| Biochemistry, Genetics and Molecular Biology | 22 | 7% |
| Veterinary Science and Veterinary Medicine | 8 | 3% |
| Engineering | 6 | 2% |
| Computer Science | 5 | 2% |
| Other | 22 | 7% |
| Unknown | 45 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 07 September 2022.
All research outputs
#4,284,015
of 23,275,636 outputs
Outputs from PLOS ONE
#62,874
of 198,864 outputs
Outputs of similar age
#18,011
of 96,497 outputs
Outputs of similar age from PLOS ONE
#288
of 883 outputs
Altmetric has tracked 23,275,636 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 198,864 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.2. This one has gotten more attention than average, scoring higher than 67% 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 96,497 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 79% of its contemporaries.
We're also able to compare this research output to 883 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 66% of its contemporaries.