The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
Title |
Identification of Candidate Genes and Genomic Selection for Seed Protein in Soybean Breeding Pipeline
|
---|---|
Published in |
Frontiers in Plant Science, June 2022
|
DOI | 10.3389/fpls.2022.882732 |
Pubmed ID | |
Authors |
Jun Qin, Fengmin Wang, Qingsong Zhao, Ainong Shi, Tiantian Zhao, Qijian Song, Waltram Ravelombola, Hongzhou An, Long Yan, Chunyan Yang, Mengchen Zhang |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 25% |
Saudi Arabia | 1 | 25% |
Unknown | 2 | 50% |
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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 12 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 4 | 33% |
Professor > Associate Professor | 1 | 8% |
Unspecified | 1 | 8% |
Student > Postgraduate | 1 | 8% |
Researcher | 1 | 8% |
Other | 0 | 0% |
Unknown | 4 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 3 | 25% |
Biochemistry, Genetics and Molecular Biology | 3 | 25% |
Unspecified | 1 | 8% |
Environmental Science | 1 | 8% |
Unknown | 4 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 05 July 2022.
All research outputs
#13,429,013
of 22,792,160 outputs
Outputs from Frontiers in Plant Science
#6,645
of 20,075 outputs
Outputs of similar age
#169,490
of 411,792 outputs
Outputs of similar age from Frontiers in Plant Science
#287
of 1,334 outputs
Altmetric has tracked 22,792,160 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 20,075 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 64% 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 411,792 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 56% of its contemporaries.
We're also able to compare this research output to 1,334 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.