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X Demographics
Mendeley readers
Attention Score in Context
| Title |
GiA Roots: software for the high throughput analysis of plant root system architecture
|
|---|---|
| Published in |
BMC Plant Biology, July 2012
|
| DOI | 10.1186/1471-2229-12-116 |
| Pubmed ID | |
| Authors |
Taras Galkovskyi, Yuriy Mileyko, Alexander Bucksch, Brad Moore, Olga Symonova, Charles A Price, Christopher N Topp, Anjali S Iyer-Pascuzzi, Paul R Zurek, Suqin Fang, John Harer, Philip N Benfey, Joshua S Weitz |
| Abstract |
Characterizing root system architecture (RSA) is essential to understanding the development and function of vascular plants. Identifying RSA-associated genes also represents an underexplored opportunity for crop improvement. Software tools are needed to accelerate the pace at which quantitative traits of RSA are estimated from images of root networks. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 2 | 67% |
| United Kingdom | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 367 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 2% |
| Chile | 2 | <1% |
| Brazil | 2 | <1% |
| Spain | 2 | <1% |
| United Kingdom | 2 | <1% |
| Colombia | 1 | <1% |
| India | 1 | <1% |
| Finland | 1 | <1% |
| Australia | 1 | <1% |
| Other | 4 | 1% |
| Unknown | 344 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 90 | 25% |
| Researcher | 61 | 17% |
| Student > Master | 53 | 14% |
| Student > Bachelor | 28 | 8% |
| Student > Doctoral Student | 26 | 7% |
| Other | 53 | 14% |
| Unknown | 56 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 208 | 57% |
| Biochemistry, Genetics and Molecular Biology | 28 | 8% |
| Environmental Science | 18 | 5% |
| Engineering | 14 | 4% |
| Computer Science | 11 | 3% |
| Other | 17 | 5% |
| Unknown | 71 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 14 August 2012.
All research outputs
#3,511,147
of 22,671,366 outputs
Outputs from BMC Plant Biology
#209
of 3,208 outputs
Outputs of similar age
#24,245
of 164,569 outputs
Outputs of similar age from BMC Plant Biology
#4
of 23 outputs
Altmetric has tracked 22,671,366 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,208 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done particularly well, scoring higher than 93% 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 164,569 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 85% 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 well, scoring higher than 82% of its contemporaries.