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Retrovirus Integration Database (RID): a public database for retroviral insertion sites into host genomes

Overview of attention for article published in Retrovirology, July 2016
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

twitter
6 tweeters

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
28 Mendeley
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Title
Retrovirus Integration Database (RID): a public database for retroviral insertion sites into host genomes
Published in
Retrovirology, July 2016
DOI 10.1186/s12977-016-0277-6
Pubmed ID
Authors

Wei Shao, Jigui Shan, Mary F. Kearney, Xiaolin Wu, Frank Maldarelli, John W. Mellors, Brian Luke, John M. Coffin, Stephen H. Hughes

Abstract

The NCI Retrovirus Integration Database is a MySql-based relational database created for storing and retrieving comprehensive information about retroviral integration sites, primarily, but not exclusively, HIV-1. The database is accessible to the public for submission or extraction of data originating from experiments aimed at collecting information related to retroviral integration sites including: the site of integration into the host genome, the virus family and subtype, the origin of the sample, gene exons/introns associated with integration, and proviral orientation. Information about the references from which the data were collected is also stored in the database. Tools are built into the website that can be used to map the integration sites to UCSC genome browser, to plot the integration site patterns on a chromosome, and to display provirus LTRs in their inserted genome sequence. The website is robust, user friendly, and allows users to query the database and analyze the data dynamically. https://rid.ncifcrf.gov ; or http://home.ncifcrf.gov/hivdrp/resources.htm .

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 36%
Student > Ph. D. Student 8 29%
Student > Bachelor 4 14%
Student > Master 1 4%
Student > Postgraduate 1 4%
Other 0 0%
Unknown 4 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 36%
Agricultural and Biological Sciences 10 36%
Medicine and Dentistry 2 7%
Linguistics 1 4%
Engineering 1 4%
Other 0 0%
Unknown 4 14%

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 25 July 2016.
All research outputs
#5,111,117
of 10,677,937 outputs
Outputs from Retrovirology
#238
of 540 outputs
Outputs of similar age
#94,211
of 267,267 outputs
Outputs of similar age from Retrovirology
#9
of 22 outputs
Altmetric has tracked 10,677,937 research outputs across all sources so far. This one has received more attention than most of these and is in the 51st percentile.
So far Altmetric has tracked 540 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has gotten more attention than average, scoring higher than 55% 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 267,267 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 64% of its contemporaries.
We're also able to compare this research output to 22 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 59% of its contemporaries.