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Transcriptomic profiling of TK2 deficient human skeletal muscle suggests a role for the p53 signalling pathway and identifies growth and differentiation factor-15 as a potential novel biomarker for…

Overview of attention for article published in BMC Genomics, February 2014
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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 (81st percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

twitter
1 X user
patent
4 patents

Citations

dimensions_citation
108 Dimensions

Readers on

mendeley
95 Mendeley
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Title
Transcriptomic profiling of TK2 deficient human skeletal muscle suggests a role for the p53 signalling pathway and identifies growth and differentiation factor-15 as a potential novel biomarker for mitochondrial myopathies
Published in
BMC Genomics, February 2014
DOI 10.1186/1471-2164-15-91
Pubmed ID
Authors

Susana Graciela Kalko, Sonia Paco, Cristina Jou, Maria Angels Rodríguez, Marija Meznaric, Mihael Rogac, Maja Jekovec-Vrhovsek, Monica Sciacco, Maurizio Moggio, Gigliola Fagiolari, Boel De Paepe, Linda De Meirleir, Isidre Ferrer, Manel Roig-Quilis, Francina Munell, Julio Montoya, Ester López-Gallardo, Eduardo Ruiz-Pesini, Rafael Artuch, Raquel Montero, Ferran Torner, Andres Nascimento, Carlos Ortez, Jaume Colomer, Cecilia Jimenez-Mallebrera

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Poland 1 1%
Unknown 94 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 22%
Researcher 20 21%
Student > Bachelor 10 11%
Student > Master 9 9%
Student > Postgraduate 5 5%
Other 9 9%
Unknown 21 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 26 27%
Medicine and Dentistry 17 18%
Agricultural and Biological Sciences 14 15%
Neuroscience 7 7%
Engineering 2 2%
Other 4 4%
Unknown 25 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 06 December 2023.
All research outputs
#5,370,172
of 25,483,400 outputs
Outputs from BMC Genomics
#2,096
of 11,271 outputs
Outputs of similar age
#60,212
of 323,142 outputs
Outputs of similar age from BMC Genomics
#36
of 198 outputs
Altmetric has tracked 25,483,400 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,271 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 81% 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 323,142 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 81% of its contemporaries.
We're also able to compare this research output to 198 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.