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Genomic analysis of the Phalaenopsis pathogen Dickeya sp. PA1, representing the emerging species Dickeya fangzhongdai

Overview of attention for article published in BMC Genomics, October 2018
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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 (53rd percentile)

Mentioned by

twitter
2 X users

Citations

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19 Dimensions

Readers on

mendeley
28 Mendeley
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Title
Genomic analysis of the Phalaenopsis pathogen Dickeya sp. PA1, representing the emerging species Dickeya fangzhongdai
Published in
BMC Genomics, October 2018
DOI 10.1186/s12864-018-5154-3
Pubmed ID
Authors

Jingxin Zhang, John Hu, Huifang Shen, Yucheng Zhang, Dayuan Sun, Xiaoming Pu, Qiyun Yang, Qiurong Fan, Birun Lin

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 32%
Student > Master 4 14%
Researcher 2 7%
Student > Doctoral Student 2 7%
Student > Postgraduate 2 7%
Other 2 7%
Unknown 7 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 29%
Biochemistry, Genetics and Molecular Biology 5 18%
Immunology and Microbiology 4 14%
Nursing and Health Professions 1 4%
Veterinary Science and Veterinary Medicine 1 4%
Other 1 4%
Unknown 8 29%
Attention Score in Context

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 31 October 2018.
All research outputs
#14,428,642
of 23,109,468 outputs
Outputs from BMC Genomics
#5,731
of 10,708 outputs
Outputs of similar age
#194,948
of 350,835 outputs
Outputs of similar age from BMC Genomics
#88
of 210 outputs
Altmetric has tracked 23,109,468 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,708 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
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 350,835 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 210 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 53% of its contemporaries.