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Truke, a web tool to check for and handle excel misidentified gene symbols

Overview of attention for article published in BMC Genomics, March 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

blogs
1 blog
twitter
49 X users
facebook
1 Facebook page
video
1 YouTube creator

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
16 Mendeley
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Title
Truke, a web tool to check for and handle excel misidentified gene symbols
Published in
BMC Genomics, March 2017
DOI 10.1186/s12864-017-3631-8
Pubmed ID
Authors

Izaskun Mallona, Miguel A. Peinado

Abstract

Genomic datasets accompanying scientific publications show a surprisingly high rate of gene name corruption. This error is generated when files and tables are imported into Microsoft Excel and certain gene symbols are automatically converted into dates. We have developed Truke, a fexible Web tool to detect, tag and fix, if possible, such misconversions. Aside, Truke is language and regional locale-aware, providing file format customization (decimal symbol, field sepator, etc.) following user's preferences. Truke is a data format conversion tool with a unique corrupted gene symbol detection utility. Truke is freely available without registration at http://maplab.cat/truke .

X Demographics

X Demographics

The data shown below were collected from the profiles of 49 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 50%
Student > Doctoral Student 1 6%
Other 1 6%
Student > Ph. D. Student 1 6%
Student > Bachelor 1 6%
Other 0 0%
Unknown 4 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 38%
Biochemistry, Genetics and Molecular Biology 3 19%
Nursing and Health Professions 1 6%
Economics, Econometrics and Finance 1 6%
Medicine and Dentistry 1 6%
Other 0 0%
Unknown 4 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 36. 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 17 November 2023.
All research outputs
#1,102,577
of 25,134,448 outputs
Outputs from BMC Genomics
#156
of 11,171 outputs
Outputs of similar age
#22,113
of 314,982 outputs
Outputs of similar age from BMC Genomics
#7
of 200 outputs
Altmetric has tracked 25,134,448 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,171 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 98% 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 314,982 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 92% of its contemporaries.
We're also able to compare this research output to 200 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 97% of its contemporaries.