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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Multi-omics revolution to promote plant breeding efficiency
|
|---|---|
| Published in |
Frontiers in Plant Science, December 2022
|
| DOI | 10.3389/fpls.2022.1062952 |
| Pubmed ID | |
| Authors |
Umer Mahmood, Xiaodong Li, Yonghai Fan, Wei Chang, Yue Niu, Jiana Li, Cunmin Qu, Kun Lu |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 64 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 16% |
| Student > Ph. D. Student | 6 | 9% |
| Student > Master | 5 | 8% |
| Student > Bachelor | 5 | 8% |
| Lecturer | 4 | 6% |
| Other | 8 | 13% |
| Unknown | 26 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 22 | 34% |
| Biochemistry, Genetics and Molecular Biology | 8 | 13% |
| Unspecified | 3 | 5% |
| Computer Science | 3 | 5% |
| Environmental Science | 1 | 2% |
| Other | 3 | 5% |
| Unknown | 24 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 12 June 2023.
All research outputs
#5,032,615
of 23,905,640 outputs
Outputs from Frontiers in Plant Science
#2,784
of 22,198 outputs
Outputs of similar age
#103,853
of 445,720 outputs
Outputs of similar age from Frontiers in Plant Science
#83
of 1,373 outputs
Altmetric has tracked 23,905,640 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 22,198 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 87% 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 445,720 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 76% of its contemporaries.
We're also able to compare this research output to 1,373 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 94% of its contemporaries.