| Title |
Improving the baking quality of bread wheat by genomic selection in early generations
|
|---|---|
| Published in |
Theoretical and Applied Genetics, October 2017
|
| DOI | 10.1007/s00122-017-2998-x |
| Pubmed ID | |
| Authors |
Sebastian Michel, Christian Kummer, Martin Gallee, Jakob Hellinger, Christian Ametz, Batuhan Akgöl, Doru Epure, Franziska Löschenberger, Hermann Buerstmayr |
X Demographics
The data shown below were collected from the profiles of 33 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 Kingdom | 4 | 12% |
| Germany | 3 | 9% |
| India | 3 | 9% |
| United States | 3 | 9% |
| Netherlands | 2 | 6% |
| Canada | 2 | 6% |
| Turkey | 2 | 6% |
| Switzerland | 1 | 3% |
| Thailand | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 9 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 22 | 67% |
| Scientists | 10 | 30% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 80 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 24% |
| Researcher | 15 | 19% |
| Student > Master | 8 | 10% |
| Student > Doctoral Student | 7 | 9% |
| Student > Bachelor | 5 | 6% |
| Other | 8 | 10% |
| Unknown | 18 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 53 | 66% |
| Engineering | 2 | 3% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Arts and Humanities | 1 | 1% |
| Environmental Science | 1 | 1% |
| Other | 2 | 3% |
| Unknown | 19 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 20 April 2018.
All research outputs
#2,008,540
of 26,017,215 outputs
Outputs from Theoretical and Applied Genetics
#105
of 4,007 outputs
Outputs of similar age
#38,925
of 341,036 outputs
Outputs of similar age from Theoretical and Applied Genetics
#4
of 56 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,007 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 95% 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 341,036 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 88% of its contemporaries.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.