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Tools to kill: Genome of one of the most destructive plant pathogenic fungi Macrophomina phaseolina

Overview of attention for article published in BMC Genomics, September 2012
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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 (79th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

twitter
2 X users
facebook
10 Facebook pages
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
197 Dimensions

Readers on

mendeley
279 Mendeley
citeulike
3 CiteULike
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Title
Tools to kill: Genome of one of the most destructive plant pathogenic fungi Macrophomina phaseolina
Published in
BMC Genomics, September 2012
DOI 10.1186/1471-2164-13-493
Pubmed ID
Authors

Md Shahidul Islam, Md Samiul Haque, Mohammad Moinul Islam, Emdadul Mannan Emdad, Abdul Halim, Quazi Md Mosaddeque Hossen, Md Zakir Hossain, Borhan Ahmed, Sifatur Rahim, Md Sharifur Rahman, Md Monjurul Alam, Shaobin Hou, Xuehua Wan, Jennifer A Saito, Maqsudul Alam

Abstract

Macrophomina phaseolina is one of the most destructive necrotrophic fungal pathogens that infect more than 500 plant species throughout the world. It can grow rapidly in infected plants and subsequently produces a large amount of sclerotia that plugs the vessels, resulting in wilting of the plant.

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 279 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 1%
South Africa 2 <1%
Colombia 1 <1%
India 1 <1%
Brazil 1 <1%
Canada 1 <1%
Paraguay 1 <1%
Unknown 269 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 61 22%
Student > Bachelor 45 16%
Student > Ph. D. Student 39 14%
Student > Master 39 14%
Student > Postgraduate 10 4%
Other 33 12%
Unknown 52 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 146 52%
Biochemistry, Genetics and Molecular Biology 41 15%
Chemistry 9 3%
Computer Science 4 1%
Engineering 3 1%
Other 18 6%
Unknown 58 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 September 2021.
All research outputs
#4,998,292
of 24,172,513 outputs
Outputs from BMC Genomics
#2,009
of 10,913 outputs
Outputs of similar age
#34,518
of 173,232 outputs
Outputs of similar age from BMC Genomics
#26
of 114 outputs
Altmetric has tracked 24,172,513 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,913 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 81% 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 173,232 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 79% of its contemporaries.
We're also able to compare this research output to 114 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.