Title |
Identification of a candidate gene for a QTL for spikelet number per spike on wheat chromosome arm 7AL by high-resolution genetic mapping
|
---|---|
Published in |
Theoretical and Applied Genetics, June 2019
|
DOI | 10.1007/s00122-019-03382-5 |
Pubmed ID | |
Authors |
Saarah Kuzay, Yunfeng Xu, Junli Zhang, Andrew Katz, Stephen Pearce, Zhenqi Su, Max Fraser, James A. Anderson, Gina Brown-Guedira, Noah DeWitt, Amanda Peters Haugrud, Justin D. Faris, Eduard Akhunov, Guihua Bai, Jorge Dubcovsky |
X Demographics
The data shown below were collected from the profiles of 24 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 | 8 | 33% |
India | 2 | 8% |
Canada | 2 | 8% |
Australia | 1 | 4% |
Belgium | 1 | 4% |
Turkey | 1 | 4% |
Germany | 1 | 4% |
Unknown | 8 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 14 | 58% |
Members of the public | 9 | 38% |
Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 104 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 26 | 25% |
Student > Master | 10 | 10% |
Researcher | 10 | 10% |
Professor | 5 | 5% |
Student > Bachelor | 4 | 4% |
Other | 10 | 10% |
Unknown | 39 | 38% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 49 | 47% |
Biochemistry, Genetics and Molecular Biology | 7 | 7% |
Computer Science | 3 | 3% |
Medicine and Dentistry | 2 | 2% |
Arts and Humanities | 1 | <1% |
Other | 2 | 2% |
Unknown | 40 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 31. 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 09 January 2024.
All research outputs
#1,256,995
of 25,177,382 outputs
Outputs from Theoretical and Applied Genetics
#44
of 3,738 outputs
Outputs of similar age
#26,987
of 356,950 outputs
Outputs of similar age from Theoretical and Applied Genetics
#2
of 48 outputs
Altmetric has tracked 25,177,382 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,738 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 98% 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 356,950 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 48 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 97% of its contemporaries.