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mbend: an R package for bending non-positive-definite symmetric matrices to positive-definite

Overview of attention for article published in BMC Genomic Data, September 2020
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

twitter
4 X users

Citations

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9 Dimensions

Readers on

mendeley
10 Mendeley
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Title
mbend: an R package for bending non-positive-definite symmetric matrices to positive-definite
Published in
BMC Genomic Data, September 2020
DOI 10.1186/s12863-020-00881-z
Pubmed ID
Authors

Mohammad Ali Nilforooshan

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 40%
Professor 2 20%
Student > Bachelor 1 10%
Lecturer 1 10%
Professor > Associate Professor 1 10%
Other 0 0%
Unknown 1 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 60%
Business, Management and Accounting 1 10%
Mathematics 1 10%
Unknown 2 20%
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 04 September 2020.
All research outputs
#15,102,687
of 25,387,668 outputs
Outputs from BMC Genomic Data
#473
of 1,204 outputs
Outputs of similar age
#219,785
of 424,599 outputs
Outputs of similar age from BMC Genomic Data
#7
of 19 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 60% 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 424,599 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 19 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 63% of its contemporaries.