↓ Skip to main content

Highly efficient mesophyll protoplast isolation and PEG-mediated transient gene expression for rapid and large-scale gene characterization in cassava (Manihot esculenta Crantz)

Overview of attention for article published in BMC Biotechnology, March 2017
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
54 Dimensions

Readers on

mendeley
70 Mendeley
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.
Title
Highly efficient mesophyll protoplast isolation and PEG-mediated transient gene expression for rapid and large-scale gene characterization in cassava (Manihot esculenta Crantz)
Published in
BMC Biotechnology, March 2017
DOI 10.1186/s12896-017-0349-2
Pubmed ID
Authors

Jun-Zheng Wu, Qin Liu, Xiao-Shan Geng, Kai-Mian Li, Li-Juan Luo, Jin-Ping Liu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 70 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 16%
Student > Bachelor 11 16%
Student > Ph. D. Student 9 13%
Student > Master 7 10%
Other 6 9%
Other 7 10%
Unknown 19 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 33%
Biochemistry, Genetics and Molecular Biology 19 27%
Chemistry 2 3%
Mathematics 1 1%
Business, Management and Accounting 1 1%
Other 3 4%
Unknown 21 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 01 December 2022.
All research outputs
#3,872,344
of 23,230,825 outputs
Outputs from BMC Biotechnology
#195
of 941 outputs
Outputs of similar age
#69,373
of 308,407 outputs
Outputs of similar age from BMC Biotechnology
#1
of 16 outputs
Altmetric has tracked 23,230,825 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 941 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one has done well, scoring higher than 78% 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 308,407 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 77% of its contemporaries.
We're also able to compare this research output to 16 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 93% of its contemporaries.