| Title |
The Sorghum QTL Atlas: a powerful tool for trait dissection, comparative genomics and crop improvement
|
|---|---|
| Published in |
Theoretical and Applied Genetics, October 2018
|
| DOI | 10.1007/s00122-018-3212-5 |
| Pubmed ID | |
| Authors |
Emma Mace, David Innes, Colleen Hunt, Xuemin Wang, Yongfu Tao, Jared Baxter, Michael Hassall, Adrian Hathorn, David Jordan |
X Demographics
The data shown below were collected from the profiles of 38 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 | 21% |
| Australia | 6 | 16% |
| United Kingdom | 4 | 11% |
| Canada | 3 | 8% |
| Germany | 2 | 5% |
| Denmark | 1 | 3% |
| Netherlands | 1 | 3% |
| Italy | 1 | 3% |
| Malaysia | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 10 | 26% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 20 | 53% |
| Members of the public | 17 | 45% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 97 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 20% |
| Researcher | 12 | 12% |
| Student > Master | 7 | 7% |
| Student > Doctoral Student | 7 | 7% |
| Student > Bachelor | 6 | 6% |
| Other | 11 | 11% |
| Unknown | 35 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 54 | 56% |
| Biochemistry, Genetics and Molecular Biology | 4 | 4% |
| Environmental Science | 1 | 1% |
| Business, Management and Accounting | 1 | 1% |
| Economics, Econometrics and Finance | 1 | 1% |
| Other | 2 | 2% |
| Unknown | 34 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 25. 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 13 June 2021.
All research outputs
#1,438,907
of 24,140,950 outputs
Outputs from Theoretical and Applied Genetics
#64
of 3,627 outputs
Outputs of similar age
#31,990
of 353,585 outputs
Outputs of similar age from Theoretical and Applied Genetics
#5
of 67 outputs
Altmetric has tracked 24,140,950 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,627 research outputs from this source. They receive a mean Attention Score of 4.9. 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 353,585 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 90% of its contemporaries.
We're also able to compare this research output to 67 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 94% of its contemporaries.