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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 (61st percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

twitter
1 tweeter
wikipedia
1 Wikipedia page

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
21 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

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 29%
Student > Bachelor 5 24%
Researcher 3 14%
Other 2 10%
Student > Master 2 10%
Other 1 5%
Unknown 2 10%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 57%
Agricultural and Biological Sciences 4 19%
Mathematics 1 5%
Computer Science 1 5%
Medicine and Dentistry 1 5%
Other 1 5%
Unknown 1 5%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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
#4,907,440
of 16,035,943 outputs
Outputs from BMC Bioinformatics
#2,156
of 5,811 outputs
Outputs of similar age
#101,255
of 269,109 outputs
Outputs of similar age from BMC Bioinformatics
#13
of 46 outputs
Altmetric has tracked 16,035,943 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 5,811 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 61% 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 269,109 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 61% of its contemporaries.
We're also able to compare this research output to 46 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 71% of its contemporaries.