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Mycosphaerella fijiensis, the black leaf streak pathogen of banana: progress towards understanding pathogen biology and detection, disease development, and the challenges of control

Overview of attention for article published in Molecular Plant Pathology, November 2010
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#5 of 1,734)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
15 news outlets
blogs
2 blogs
twitter
1 X user
patent
2 patents

Citations

dimensions_citation
168 Dimensions

Readers on

mendeley
391 Mendeley
citeulike
1 CiteULike
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Title
Mycosphaerella fijiensis, the black leaf streak pathogen of banana: progress towards understanding pathogen biology and detection, disease development, and the challenges of control
Published in
Molecular Plant Pathology, November 2010
DOI 10.1111/j.1364-3703.2010.00672.x
Pubmed ID
Authors

Alice C L Churchill

Abstract

Banana (Musa spp.) is grown throughout the tropical and subtropical regions of the world. The fruits are a key staple food in many developing countries and a source of income for subsistence farmers. Bananas are also a major, multibillion-dollar export commodity for consumption primarily in developed countries, where few banana cultivars are grown. The fungal pathogen Mycosphaerella fijiensis causes black leaf streak disease (BLSD; aka black Sigatoka leaf spot) on the majority of edible banana cultivars grown worldwide. The fact that most of these cultivars are sterile and unsuitable for the breeding of resistant lines necessitates the extensive use of fungicides as the primary means of disease control. BLSD is a significant threat to the food security of resource-poor populations who cannot afford fungicides, and increases the environmental and health hazards where large-acreage monocultures of banana (Cavendish subgroup, AAA genome) are grown for export.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 391 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 4 1%
Mexico 2 <1%
Switzerland 1 <1%
Honduras 1 <1%
Indonesia 1 <1%
Chile 1 <1%
Nigeria 1 <1%
Unknown 380 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 69 18%
Student > Bachelor 60 15%
Researcher 50 13%
Student > Ph. D. Student 31 8%
Student > Doctoral Student 21 5%
Other 49 13%
Unknown 111 28%
Readers by discipline Count As %
Agricultural and Biological Sciences 195 50%
Biochemistry, Genetics and Molecular Biology 27 7%
Environmental Science 11 3%
Chemistry 9 2%
Engineering 8 2%
Other 26 7%
Unknown 115 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 144. 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 06 November 2016.
All research outputs
#286,188
of 25,373,627 outputs
Outputs from Molecular Plant Pathology
#5
of 1,734 outputs
Outputs of similar age
#1,090
of 188,265 outputs
Outputs of similar age from Molecular Plant Pathology
#1
of 9 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,734 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done particularly well, scoring higher than 99% 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 188,265 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 99% of its contemporaries.
We're also able to compare this research output to 9 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