| Title |
Genetic Trends Estimation in IRRIs Rice Drought Breeding Program and Identification of High Yielding Drought-Tolerant Lines
|
|---|---|
| Published in |
Rice, March 2022
|
| DOI | 10.1186/s12284-022-00559-3 |
| Pubmed ID | |
| Authors |
Apurva Khanna, Mahender Anumalla, Margaret Catolos, Jérôme Bartholomé, Roberto Fritsche-Neto, John Damien Platten, Daniel Joseph Pisano, Alaine Gulles, Ma Teresa Sta. Cruz, Joie Ramos, Gem Faustino, Sankalp Bhosale, Waseem Hussain |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Philippines | 3 | 27% |
| Germany | 1 | 9% |
| United States | 1 | 9% |
| Unknown | 6 | 55% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 55% |
| Scientists | 5 | 45% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 26% |
| Student > Bachelor | 4 | 13% |
| Student > Ph. D. Student | 4 | 13% |
| Lecturer | 2 | 6% |
| Student > Master | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 9 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 17 | 55% |
| Biochemistry, Genetics and Molecular Biology | 2 | 6% |
| Environmental Science | 1 | 3% |
| Unspecified | 1 | 3% |
| Medicine and Dentistry | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 9 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 24. 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 December 2022.
All research outputs
#1,553,842
of 25,163,238 outputs
Outputs from Rice
#14
of 427 outputs
Outputs of similar age
#36,774
of 435,904 outputs
Outputs of similar age from Rice
#1
of 10 outputs
Altmetric has tracked 25,163,238 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 427 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done particularly well, scoring higher than 96% 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 435,904 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 91% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them