| Title |
MAGIC populations in crops: current status and future prospects
|
|---|---|
| Published in |
Theoretical and Applied Genetics, April 2015
|
| DOI | 10.1007/s00122-015-2506-0 |
| Pubmed ID | |
| Authors |
B. Emma Huang, Klara L. Verbyla, Arunas P. Verbyla, Chitra Raghavan, Vikas K. Singh, Pooran Gaur, Hei Leung, Rajeev K. Varshney, Colin R. Cavanagh |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 368 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | <1% |
| Indonesia | 1 | <1% |
| Chile | 1 | <1% |
| Italy | 1 | <1% |
| Australia | 1 | <1% |
| Brazil | 1 | <1% |
| India | 1 | <1% |
| Argentina | 1 | <1% |
| Spain | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 357 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 86 | 23% |
| Student > Ph. D. Student | 83 | 23% |
| Student > Master | 48 | 13% |
| Student > Doctoral Student | 20 | 5% |
| Student > Bachelor | 17 | 5% |
| Other | 50 | 14% |
| Unknown | 64 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 244 | 66% |
| Biochemistry, Genetics and Molecular Biology | 28 | 8% |
| Medicine and Dentistry | 4 | 1% |
| Social Sciences | 3 | <1% |
| Mathematics | 3 | <1% |
| Other | 10 | 3% |
| Unknown | 76 | 21% |
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 22 May 2015.
All research outputs
#16,443,300
of 25,837,817 outputs
Outputs from Theoretical and Applied Genetics
#3,193
of 3,910 outputs
Outputs of similar age
#154,921
of 281,916 outputs
Outputs of similar age from Theoretical and Applied Genetics
#13
of 47 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,910 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 18th percentile – i.e., 18% 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 281,916 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.