↓ Skip to main content

Chloroplast genomes: diversity, evolution, and applications in genetic engineering

Overview of attention for article published in Genome Biology, June 2016
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

twitter
29 X users
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
1007 Dimensions

Readers on

mendeley
894 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
Chloroplast genomes: diversity, evolution, and applications in genetic engineering
Published in
Genome Biology, June 2016
DOI 10.1186/s13059-016-1004-2
Pubmed ID
Authors

Henry Daniell, Choun-Sea Lin, Ming Yu, Wan-Jung Chang

X Demographics

X Demographics

The data shown below were collected from the profiles of 29 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 894 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Ghana 1 <1%
Brazil 1 <1%
Sweden 1 <1%
United Kingdom 1 <1%
New Zealand 1 <1%
Russia 1 <1%
Poland 1 <1%
Unknown 886 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 135 15%
Student > Master 126 14%
Student > Bachelor 110 12%
Researcher 99 11%
Student > Doctoral Student 33 4%
Other 111 12%
Unknown 280 31%
Readers by discipline Count As %
Agricultural and Biological Sciences 295 33%
Biochemistry, Genetics and Molecular Biology 222 25%
Computer Science 12 1%
Medicine and Dentistry 12 1%
Environmental Science 10 1%
Other 46 5%
Unknown 297 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 09 April 2023.
All research outputs
#2,054,617
of 26,017,215 outputs
Outputs from Genome Biology
#1,718
of 4,513 outputs
Outputs of similar age
#36,353
of 374,691 outputs
Outputs of similar age from Genome Biology
#27
of 70 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 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,513 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.7. This one has gotten more attention than average, scoring higher than 61% 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 374,691 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 89% of its contemporaries.
We're also able to compare this research output to 70 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.