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TelomereHunter – in silico estimation of telomere content and composition from cancer genomes

Overview of attention for article published in BMC Bioinformatics, May 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

wikipedia
2 Wikipedia pages

Citations

dimensions_citation
58 Dimensions

Readers on

mendeley
75 Mendeley
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Title
TelomereHunter – in silico estimation of telomere content and composition from cancer genomes
Published in
BMC Bioinformatics, May 2019
DOI 10.1186/s12859-019-2851-0
Pubmed ID
Authors

Lars Feuerbach, Lina Sieverling, Katharina I. Deeg, Philip Ginsbach, Barbara Hutter, Ivo Buchhalter, Paul A. Northcott, Sadaf S. Mughal, Priya Chudasama, Hanno Glimm, Claudia Scholl, Peter Lichter, Stefan Fröhling, Stefan M. Pfister, David T. W. Jones, Karsten Rippe, Benedikt Brors

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 75 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 19%
Researcher 10 13%
Student > Bachelor 9 12%
Student > Master 7 9%
Other 4 5%
Other 5 7%
Unknown 26 35%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 27 36%
Agricultural and Biological Sciences 12 16%
Medicine and Dentistry 4 5%
Mathematics 1 1%
Computer Science 1 1%
Other 5 7%
Unknown 25 33%
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 20 April 2020.
All research outputs
#7,593,282
of 23,149,216 outputs
Outputs from BMC Bioinformatics
#3,054
of 7,339 outputs
Outputs of similar age
#136,910
of 350,248 outputs
Outputs of similar age from BMC Bioinformatics
#94
of 205 outputs
Altmetric has tracked 23,149,216 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 7,339 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 50% 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 350,248 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.
We're also able to compare this research output to 205 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 53% of its contemporaries.