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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Maturity Group Classification and Maturity Locus Genotyping of Early-Maturing Soybean Varieties from High-Latitude Cold Regions
|
|---|---|
| Published in |
PLOS ONE, April 2014
|
| DOI | 10.1371/journal.pone.0094139 |
| Pubmed ID | |
| Authors |
Hongchang Jia, Bingjun Jiang, Cunxiang Wu, Wencheng Lu, Wensheng Hou, Shi Sun, Hongrui Yan, Tianfu Han |
| Abstract |
With the migration of human beings, advances of agricultural sciences, evolution of planting patterns and global warming, soybeans have expanded to both tropical and high-latitude cold regions (HCRs). Unlike other regions, HCRs have much more significant and diverse photoperiods and temperature conditions over seasons or across latitudes, and HCR soybeans released there show rich diversity in maturity traits. However, HCR soybeans have not been as well classified into maturity groups (MGs) as other places. Therefore, it is necessary to identify MGs in HCRs and to genotype the maturity loci. |
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 % |
|---|---|---|
| Belgium | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 1% |
| Paraguay | 1 | 1% |
| Switzerland | 1 | 1% |
| Unknown | 84 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 22% |
| Student > Ph. D. Student | 12 | 14% |
| Student > Master | 12 | 14% |
| Student > Doctoral Student | 6 | 7% |
| Student > Bachelor | 4 | 5% |
| Other | 13 | 15% |
| Unknown | 21 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 47 | 54% |
| Medicine and Dentistry | 4 | 5% |
| Biochemistry, Genetics and Molecular Biology | 4 | 5% |
| Engineering | 2 | 2% |
| Social Sciences | 2 | 2% |
| Other | 6 | 7% |
| Unknown | 22 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 17 April 2014.
All research outputs
#18,630,234
of 23,079,238 outputs
Outputs from PLOS ONE
#156,954
of 196,790 outputs
Outputs of similar age
#147,818
of 204,313 outputs
Outputs of similar age from PLOS ONE
#3,834
of 5,018 outputs
Altmetric has tracked 23,079,238 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 196,790 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.2. This one is in the 10th percentile – i.e., 10% 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 204,313 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5,018 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.