You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Factor analytic mixed models for the provision of grower information from national crop variety testing programs
|
|---|---|
| Published in |
Theoretical and Applied Genetics, October 2014
|
| DOI | 10.1007/s00122-014-2412-x |
| Pubmed ID | |
| Authors |
Alison B. Smith, Aanandini Ganesalingam, Haydn Kuchel, Brian R. Cullis |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 163 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 1% |
| France | 1 | <1% |
| Sweden | 1 | <1% |
| Unknown | 159 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 39 | 24% |
| Student > Ph. D. Student | 20 | 12% |
| Student > Master | 20 | 12% |
| Student > Doctoral Student | 8 | 5% |
| Student > Postgraduate | 7 | 4% |
| Other | 25 | 15% |
| Unknown | 44 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 77 | 47% |
| Mathematics | 19 | 12% |
| Biochemistry, Genetics and Molecular Biology | 8 | 5% |
| Environmental Science | 2 | 1% |
| Computer Science | 2 | 1% |
| Other | 7 | 4% |
| Unknown | 48 | 29% |
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 05 January 2017.
All research outputs
#17,363,471
of 25,998,826 outputs
Outputs from Theoretical and Applied Genetics
#3,309
of 4,010 outputs
Outputs of similar age
#162,252
of 275,972 outputs
Outputs of similar age from Theoretical and Applied Genetics
#23
of 36 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,010 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one is in the 16th percentile – i.e., 16% 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 275,972 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.