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Leaf morphology in Cowpea [Vigna unguiculata (L.) Walp]: QTL analysis, physical mapping and identifying a candidate gene using synteny with model legume species

Overview of attention for article published in BMC Genomics, June 2012
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
38 Dimensions

Readers on

mendeley
145 Mendeley
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Title
Leaf morphology in Cowpea [Vigna unguiculata (L.) Walp]: QTL analysis, physical mapping and identifying a candidate gene using synteny with model legume species
Published in
BMC Genomics, June 2012
DOI 10.1186/1471-2164-13-234
Pubmed ID
Authors

Marti Pottorff, Jeffrey D Ehlers, Christian Fatokun, Philip A Roberts, Timothy J Close

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 1%
Spain 1 <1%
Unknown 142 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 25 17%
Student > Ph. D. Student 24 17%
Researcher 12 8%
Student > Bachelor 11 8%
Student > Doctoral Student 10 7%
Other 16 11%
Unknown 47 32%
Readers by discipline Count As %
Agricultural and Biological Sciences 74 51%
Biochemistry, Genetics and Molecular Biology 6 4%
Unspecified 4 3%
Engineering 3 2%
Psychology 2 1%
Other 5 3%
Unknown 51 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 13 April 2017.
All research outputs
#7,486,178
of 22,881,154 outputs
Outputs from BMC Genomics
#3,612
of 10,666 outputs
Outputs of similar age
#55,328
of 167,435 outputs
Outputs of similar age from BMC Genomics
#28
of 100 outputs
Altmetric has tracked 22,881,154 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,666 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 59% 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 167,435 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 100 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 66% of its contemporaries.