| Title |
Marker Assisted Forward Breeding to Combine Multiple Biotic-Abiotic Stress Resistance/Tolerance in Rice
|
|---|---|
| Published in |
Rice, May 2020
|
| DOI | 10.1186/s12284-020-00391-7 |
| Pubmed ID | |
| Authors |
Shilpi Dixit, Uma Maheshwar Singh, Arun Kumar Singh, Shamshad Alam, Challa Venkateshwarlu, Vishnu Varthini Nachimuthu, Shailesh Yadav, Ragavendran Abbai, Ramchander Selvaraj, M. Nagamallika Devi, Perumalla Janaki Ramayya, Jyothi Badri, T. Ram, Jhansi Lakshmi, G. Lakshmidevi, Jai Vidhya LRK, Ayyagari Phani Padmakumari, G. S. Laha, M. S. Prasad, Malathi Seetalam, Vikas Kumar Singh, Arvind Kumar |
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 % |
|---|---|---|
| India | 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 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 81 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 12 | 15% |
| Student > Ph. D. Student | 10 | 12% |
| Researcher | 7 | 9% |
| Student > Master | 5 | 6% |
| Lecturer | 3 | 4% |
| Other | 9 | 11% |
| Unknown | 35 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 31 | 38% |
| Biochemistry, Genetics and Molecular Biology | 9 | 11% |
| Unspecified | 1 | 1% |
| Computer Science | 1 | 1% |
| Immunology and Microbiology | 1 | 1% |
| Other | 2 | 2% |
| Unknown | 36 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 16 November 2020.
All research outputs
#3,134,920
of 23,211,181 outputs
Outputs from Rice
#32
of 392 outputs
Outputs of similar age
#82,184
of 396,626 outputs
Outputs of similar age from Rice
#3
of 7 outputs
Altmetric has tracked 23,211,181 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 392 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 91% 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 396,626 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 79% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.