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 |
Development of a universal and simplified ddRAD library preparation approach for SNP discovery and genotyping in angiosperm plants
|
---|---|
Published in |
Plant Methods, August 2016
|
DOI | 10.1186/s13007-016-0139-1 |
Pubmed ID | |
Authors |
Guo-Qian Yang, Yun-Mei Chen, Jin-Peng Wang, Cen Guo, Lei Zhao, Xiao-Yan Wang, Ying Guo, Li Li, De-Zhu Li, Zhen-Hua Guo |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 1 | 14% |
United Kingdom | 1 | 14% |
Unknown | 5 | 71% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 7 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 175 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | <1% |
Spain | 1 | <1% |
United States | 1 | <1% |
Brazil | 1 | <1% |
Unknown | 171 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 34 | 19% |
Researcher | 31 | 18% |
Student > Master | 25 | 14% |
Student > Bachelor | 17 | 10% |
Student > Doctoral Student | 12 | 7% |
Other | 21 | 12% |
Unknown | 35 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 88 | 50% |
Biochemistry, Genetics and Molecular Biology | 28 | 16% |
Environmental Science | 12 | 7% |
Engineering | 2 | 1% |
Unspecified | 1 | <1% |
Other | 6 | 3% |
Unknown | 38 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 December 2016.
All research outputs
#1,842,867
of 26,017,215 outputs
Outputs from Plant Methods
#76
of 1,288 outputs
Outputs of similar age
#33,762
of 388,862 outputs
Outputs of similar age from Plant Methods
#1
of 8 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,288 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done particularly well, scoring higher than 94% 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 388,862 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 90% of its contemporaries.
We're also able to compare this research output to 8 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