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X Demographics
Mendeley readers
Attention Score in Context
| Title |
An advanced systems biology framework of feature engineering for cold tolerance genes discovery from integrated omics and non-omics data in soybean
|
|---|---|
| Published in |
Frontiers in Plant Science, September 2022
|
| DOI | 10.3389/fpls.2022.1019709 |
| Pubmed ID | |
| Authors |
Pei-Hsiu Kao, Supaporn Baiya, Zheng-Yuan Lai, Chih-Min Huang, Li-Hsin Jhan, Chian-Jiun Lin, Ya-Syuan Lai, Chung-Feng Kao |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 1 | 14% |
| Other | 1 | 14% |
| Lecturer | 1 | 14% |
| Student > Bachelor | 1 | 14% |
| Professor > Associate Professor | 1 | 14% |
| Other | 1 | 14% |
| Unknown | 1 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 4 | 57% |
| Biochemistry, Genetics and Molecular Biology | 1 | 14% |
| Unspecified | 1 | 14% |
| Unknown | 1 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 04 October 2022.
All research outputs
#15,754,762
of 26,352,912 outputs
Outputs from Frontiers in Plant Science
#7,914
of 25,101 outputs
Outputs of similar age
#197,241
of 444,562 outputs
Outputs of similar age from Frontiers in Plant Science
#350
of 1,463 outputs
Altmetric has tracked 26,352,912 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 25,101 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 67% 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 444,562 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.
We're also able to compare this research output to 1,463 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 74% of its contemporaries.