| Title |
Toward the sequence-based breeding in legumes in the post-genome sequencing era
|
|---|---|
| Published in |
Theoretical and Applied Genetics, December 2018
|
| DOI | 10.1007/s00122-018-3252-x |
| Pubmed ID | |
| Authors |
Rajeev K. Varshney, Manish K. Pandey, Abhishek Bohra, Vikas K. Singh, Mahendar Thudi, Rachit K. Saxena |
X Demographics
The data shown below were collected from the profiles of 69 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 9 | 13% |
| United States | 7 | 10% |
| Australia | 7 | 10% |
| United Kingdom | 3 | 4% |
| Brazil | 2 | 3% |
| Portugal | 2 | 3% |
| China | 1 | 1% |
| Philippines | 1 | 1% |
| South Africa | 1 | 1% |
| Other | 14 | 20% |
| Unknown | 22 | 32% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 44 | 64% |
| Scientists | 21 | 30% |
| Science communicators (journalists, bloggers, editors) | 4 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 119 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 26 | 22% |
| Student > Ph. D. Student | 25 | 21% |
| Student > Master | 13 | 11% |
| Other | 7 | 6% |
| Student > Doctoral Student | 5 | 4% |
| Other | 10 | 8% |
| Unknown | 33 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 72 | 61% |
| Biochemistry, Genetics and Molecular Biology | 8 | 7% |
| Arts and Humanities | 1 | <1% |
| Unspecified | 1 | <1% |
| Immunology and Microbiology | 1 | <1% |
| Other | 2 | 2% |
| Unknown | 34 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 44. 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 28 August 2023.
All research outputs
#948,051
of 25,369,304 outputs
Outputs from Theoretical and Applied Genetics
#26
of 3,792 outputs
Outputs of similar age
#20,821
of 428,643 outputs
Outputs of similar age from Theoretical and Applied Genetics
#1
of 53 outputs
Altmetric has tracked 25,369,304 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,792 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 99% 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 428,643 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 95% of its contemporaries.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.