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Genome sequence of the necrotrophic fungus Penicillium digitatum, the main postharvest pathogen of citrus

Overview of attention for article published in BMC Genomics, November 2012
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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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

blogs
2 blogs
twitter
5 X users
wikipedia
5 Wikipedia pages

Citations

dimensions_citation
205 Dimensions

Readers on

mendeley
165 Mendeley
citeulike
1 CiteULike
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Title
Genome sequence of the necrotrophic fungus Penicillium digitatum, the main postharvest pathogen of citrus
Published in
BMC Genomics, November 2012
DOI 10.1186/1471-2164-13-646
Pubmed ID
Authors

Marina Marcet-Houben, Ana-Rosa Ballester, Beatriz de la Fuente, Eleonora Harries, Jose F Marcos, Luis González-Candelas, Toni Gabaldón

Abstract

Penicillium digitatum is a fungal necrotroph causing a common citrus postharvest disease known as green mold. In order to gain insight into the genetic bases of its virulence mechanisms and its high degree of host-specificity, the genomes of two P. digitatum strains that differ in their antifungal resistance traits have been sequenced and compared with those of 28 other Pezizomycotina.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 165 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 1%
Denmark 2 1%
Taiwan 1 <1%
Canada 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 157 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 36 22%
Researcher 36 22%
Student > Bachelor 21 13%
Student > Master 19 12%
Student > Postgraduate 7 4%
Other 17 10%
Unknown 29 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 72 44%
Biochemistry, Genetics and Molecular Biology 32 19%
Computer Science 4 2%
Chemistry 4 2%
Medicine and Dentistry 3 2%
Other 16 10%
Unknown 34 21%
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 23 December 2021.
All research outputs
#1,753,381
of 22,753,345 outputs
Outputs from BMC Genomics
#438
of 10,636 outputs
Outputs of similar age
#16,635
of 276,166 outputs
Outputs of similar age from BMC Genomics
#17
of 380 outputs
Altmetric has tracked 22,753,345 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,636 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 95% 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 276,166 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 93% of its contemporaries.
We're also able to compare this research output to 380 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.