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X Demographics
Mendeley readers
Attention Score in Context
| Title |
High-throughput phenotyping of seminal root traits in wheat
|
|---|---|
| Published in |
Plant Methods, March 2015
|
| DOI | 10.1186/s13007-015-0055-9 |
| Pubmed ID | |
| Authors |
Cecile AI Richard, Lee T Hickey, Susan Fletcher, Raeleen Jennings, Karine Chenu, Jack T Christopher |
X Demographics
The data shown below were collected from the profiles of 131 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 16 | 12% |
| United States | 15 | 11% |
| United Kingdom | 15 | 11% |
| India | 6 | 5% |
| Germany | 4 | 3% |
| South Africa | 2 | 2% |
| Mexico | 2 | 2% |
| Pakistan | 2 | 2% |
| Canada | 2 | 2% |
| Other | 19 | 15% |
| Unknown | 48 | 37% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 87 | 66% |
| Scientists | 37 | 28% |
| Science communicators (journalists, bloggers, editors) | 5 | 4% |
| Practitioners (doctors, other healthcare professionals) | 2 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 324 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 1% |
| Mozambique | 1 | <1% |
| Chile | 1 | <1% |
| Sweden | 1 | <1% |
| France | 1 | <1% |
| Belgium | 1 | <1% |
| United Kingdom | 1 | <1% |
| Unknown | 314 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 74 | 23% |
| Researcher | 72 | 22% |
| Student > Master | 34 | 10% |
| Student > Doctoral Student | 23 | 7% |
| Student > Bachelor | 16 | 5% |
| Other | 44 | 14% |
| Unknown | 61 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 208 | 64% |
| Environmental Science | 15 | 5% |
| Biochemistry, Genetics and Molecular Biology | 11 | 3% |
| Computer Science | 4 | 1% |
| Mathematics | 4 | 1% |
| Other | 16 | 5% |
| Unknown | 66 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 100. 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 16 October 2020.
All research outputs
#423,424
of 25,377,790 outputs
Outputs from Plant Methods
#4
of 1,262 outputs
Outputs of similar age
#4,917
of 270,989 outputs
Outputs of similar age from Plant Methods
#1
of 23 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,262 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has done particularly well, scoring higher than 99% 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 270,989 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 98% of its contemporaries.
We're also able to compare this research output to 23 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 99% of its contemporaries.