↓ Skip to main content

Genome sequencing of high-penicillin producing industrial strain of Penicillium chrysogenum

Overview of attention for article published in BMC Genomics, January 2014
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

Mentioned by

wikipedia
2 Wikipedia pages

Readers on

mendeley
66 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
Genome sequencing of high-penicillin producing industrial strain of Penicillium chrysogenum
Published in
BMC Genomics, January 2014
DOI 10.1186/1471-2164-15-s1-s11
Pubmed ID
Authors

Fu-Qiang Wang, Jun Zhong, Ying Zhao, Jingfa Xiao, Jing Liu, Meng Dai, Guizhen Zheng, Li Zhang, Jun Yu, Jiayan Wu, Baoling Duan

Abstract

Due to the importance of Penicillium chrysogenum holding in medicine, the genome of low-penicillin producing laboratorial strain Wisconsin54-1255 had been sequenced and fully annotated. Through classical mutagenesis of Wisconsin54-1255, product titers and productivities of penicillin have dramatically increased, but what underlying genome structural variations is still little known. Therefore, genome sequencing of a high-penicillin producing industrial strain is very meaningful.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 2 3%
United States 1 2%
Russia 1 2%
Germany 1 2%
Unknown 61 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 24%
Student > Bachelor 11 17%
Researcher 10 15%
Student > Master 6 9%
Student > Doctoral Student 5 8%
Other 8 12%
Unknown 10 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 26 39%
Biochemistry, Genetics and Molecular Biology 19 29%
Engineering 3 5%
Chemistry 3 5%
Immunology and Microbiology 1 2%
Other 3 5%
Unknown 11 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 13 December 2021.
All research outputs
#7,729,323
of 23,498,099 outputs
Outputs from BMC Genomics
#3,703
of 10,787 outputs
Outputs of similar age
#93,931
of 309,666 outputs
Outputs of similar age from BMC Genomics
#178
of 437 outputs
Altmetric has tracked 23,498,099 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,787 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 58% 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 309,666 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 437 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 58% of its contemporaries.