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TelNet - a database for human and yeast genes involved in telomere maintenance

Overview of attention for article published in BMC Genomic Data, May 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

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10 X users
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1 Wikipedia page

Citations

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38 Dimensions

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32 Mendeley
Title
TelNet - a database for human and yeast genes involved in telomere maintenance
Published in
BMC Genomic Data, May 2018
DOI 10.1186/s12863-018-0617-8
Pubmed ID
Authors

Delia M. Braun, Inn Chung, Nick Kepper, Katharina I. Deeg, Karsten Rippe

Abstract

The ends of linear chromosomes, the telomeres, comprise repetitive DNA sequences in complex with proteins that protects them from being processed by the DNA repair machinery. Cancer cells need to counteract the shortening of telomere repeats during replication for their unlimited proliferation by reactivating the reverse transcriptase telomerase or by using the alternative lengthening of telomeres (ALT) pathway. The different telomere maintenance (TM) mechanisms appear to involve hundreds of proteins but their telomere repeat length related activities are only partly understood. Currently, a database that integrates information on TM relevant genes is missing. To provide a resource for studies that dissect TM features, we here introduce the TelNet database at http://www.cancertelsys.org/telnet/ . It offers a comprehensive compilation of more than 2000 human and 1100 yeast genes linked to telomere maintenance. These genes were annotated in terms of TM mechanism, associated specific functions and orthologous genes, a TM significance score and information from peer-reviewed literature. This TM information can be retrieved via different search and view modes and evaluated for a set of genes as demonstrated for an exemplary application. TelNet supports the annotation of genes identified from bioinformatics analysis pipelines to reveal possible connections with TM networks. We anticipate that TelNet will be a helpful resource for researchers that study telomeres.

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X Demographics

The data shown below were collected from the profiles of 10 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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 22%
Student > Master 4 13%
Researcher 4 13%
Student > Bachelor 3 9%
Other 2 6%
Other 3 9%
Unknown 9 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 34%
Agricultural and Biological Sciences 7 22%
Medicine and Dentistry 2 6%
Immunology and Microbiology 1 3%
Engineering 1 3%
Other 0 0%
Unknown 10 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 15 May 2019.
All research outputs
#4,263,639
of 25,382,440 outputs
Outputs from BMC Genomic Data
#140
of 1,204 outputs
Outputs of similar age
#77,703
of 343,554 outputs
Outputs of similar age from BMC Genomic Data
#2
of 13 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 88% 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 343,554 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 77% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.