↓ Skip to main content

Prediction of Cacao (Theobroma cacao) Resistance to Moniliophthora spp. Diseases via Genome-Wide Association Analysis and Genomic Selection

Overview of attention for article published in Frontiers in Plant Science, March 2018
Altmetric Badge

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 (76th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

twitter
13 X users

Citations

dimensions_citation
41 Dimensions

Readers on

mendeley
113 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
Prediction of Cacao (Theobroma cacao) Resistance to Moniliophthora spp. Diseases via Genome-Wide Association Analysis and Genomic Selection
Published in
Frontiers in Plant Science, March 2018
DOI 10.3389/fpls.2018.00343
Pubmed ID
Authors

Michel S. McElroy, Alberto J. R. Navarro, Guiliana Mustiga, Conrad Stack, Salvador Gezan, Geover Peña, Widem Sarabia, Diego Saquicela, Ignacio Sotomayor, Gavin M. Douglas, Zoë Migicovsky, Freddy Amores, Omar Tarqui, Sean Myles, Juan C. Motamayor

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 113 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 22 19%
Researcher 15 13%
Student > Bachelor 14 12%
Student > Ph. D. Student 10 9%
Student > Doctoral Student 5 4%
Other 16 14%
Unknown 31 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 43 38%
Biochemistry, Genetics and Molecular Biology 15 13%
Computer Science 5 4%
Nursing and Health Professions 2 2%
Business, Management and Accounting 2 2%
Other 11 10%
Unknown 35 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 27 April 2018.
All research outputs
#4,380,539
of 26,017,215 outputs
Outputs from Frontiers in Plant Science
#2,233
of 24,949 outputs
Outputs of similar age
#80,591
of 350,999 outputs
Outputs of similar age from Frontiers in Plant Science
#65
of 473 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 24,949 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done particularly well, scoring higher than 90% 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 350,999 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 76% of its contemporaries.
We're also able to compare this research output to 473 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.