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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Exploring molecular backgrounds of quality traits in rice by predictive models based on high-coverage metabolomics
|
|---|---|
| Published in |
BMC Systems Biology, October 2011
|
| DOI | 10.1186/1752-0509-5-176 |
| Pubmed ID | |
| Authors |
Henning Redestig, Miyako Kusano, Kaworu Ebana, Makoto Kobayashi, Akira Oikawa, Yozo Okazaki, Fumio Matsuda, Masanori Arita, Naoko Fujita, Kazuki Saito |
| Abstract |
Increasing awareness of limitations to natural resources has set high expectations for plant science to deliver efficient crops with increased yields, improved stress tolerance, and tailored composition. Collections of representative varieties are a valuable resource for compiling broad breeding germplasms that can satisfy these diverse needs. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Indonesia | 3 | 5% |
| France | 1 | 2% |
| Vietnam | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 51 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 28% |
| Student > Ph. D. Student | 10 | 18% |
| Student > Postgraduate | 6 | 11% |
| Professor > Associate Professor | 4 | 7% |
| Student > Master | 4 | 7% |
| Other | 11 | 19% |
| Unknown | 6 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 33 | 58% |
| Biochemistry, Genetics and Molecular Biology | 6 | 11% |
| Chemistry | 4 | 7% |
| Computer Science | 2 | 4% |
| Engineering | 2 | 4% |
| Other | 0 | 0% |
| Unknown | 10 | 18% |
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 03 November 2011.
All research outputs
#13,356,164
of 22,655,397 outputs
Outputs from BMC Systems Biology
#476
of 1,142 outputs
Outputs of similar age
#86,031
of 140,785 outputs
Outputs of similar age from BMC Systems Biology
#11
of 39 outputs
Altmetric has tracked 22,655,397 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one has gotten more attention than average, scoring higher than 55% 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 140,785 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 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 66% of its contemporaries.