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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 (58th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
45 Mendeley
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

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 27%
Student > Master 6 13%
Student > Bachelor 6 13%
Researcher 5 11%
Other 3 7%
Other 5 11%
Unknown 8 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 20 44%
Agricultural and Biological Sciences 8 18%
Medicine and Dentistry 3 7%
Computer Science 1 2%
Mathematics 1 2%
Other 5 11%
Unknown 7 16%

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
#5,654,444
of 17,489,191 outputs
Outputs from BMC Bioinformatics
#2,461
of 6,175 outputs
Outputs of similar age
#107,596
of 274,429 outputs
Outputs of similar age from BMC Bioinformatics
#13
of 45 outputs
Altmetric has tracked 17,489,191 research outputs across all sources so far. This one is in the 47th percentile – i.e., 47% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,175 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has gotten more attention than average, scoring higher than 52% 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 274,429 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 58% of its contemporaries.
We're also able to compare this research output to 45 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 73% of its contemporaries.