| Title |
Analysis of recombinant inbred line populations derived from wheat landraces to identify new genes for wheat stem sawfly resistance
|
|---|---|
| Published in |
Theoretical and Applied Genetics, May 2019
|
| DOI | 10.1007/s00122-019-03347-8 |
| Pubmed ID | |
| Authors |
Andrea C. Varella, David K. Weaver, Nancy K. Blake, Megan L. Hofland, Hwa-Young Heo, Jason P. Cook, Peggy F. Lamb, Katherine W. Jordan, Eduard Akhunov, Shiaoman Chao, Luther E. Talbert |
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 % |
|---|---|---|
| United States | 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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 16% |
| Professor > Associate Professor | 2 | 11% |
| Student > Ph. D. Student | 2 | 11% |
| Professor | 1 | 5% |
| Student > Doctoral Student | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 9 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 7 | 37% |
| Biochemistry, Genetics and Molecular Biology | 2 | 11% |
| Computer Science | 1 | 5% |
| Unknown | 9 | 47% |
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 December 2019.
All research outputs
#14,582,479
of 23,794,258 outputs
Outputs from Theoretical and Applied Genetics
#2,708
of 3,565 outputs
Outputs of similar age
#189,245
of 352,195 outputs
Outputs of similar age from Theoretical and Applied Genetics
#35
of 45 outputs
Altmetric has tracked 23,794,258 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,565 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 22nd percentile – i.e., 22% 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 352,195 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.