↓ Skip to main content

jChIP: a graphical environment for exploratory ChIP-Seq data analysis

Overview of attention for article published in BMC Research Notes, September 2014
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

twitter
6 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
17 Mendeley
Title
jChIP: a graphical environment for exploratory ChIP-Seq data analysis
Published in
BMC Research Notes, September 2014
DOI 10.1186/1756-0500-7-676
Pubmed ID
Authors

Krzysztof Chojnowski, Krzysztof Goryca, Tymon Rubel, Michal Mikula

Abstract

Chromatin immunoprecipitation coupled with next-generation sequencing (ChIP-Seq) provides a powerful tool for discovering protein-DNA interactions. Still, the computational analysis of the great amount of ChIP-Seq data generated, involving mapping of raw data to reference genome, has been a bottle neck for most of researchers in the transcriptional and epigenetic fields. Thus, user-friendly ChIP-Seq processing method sare much needed to enable greater community of computational and bench biologists to exploit the power of ChIP-Seq technology .

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 6%
France 1 6%
Unknown 15 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 24%
Researcher 3 18%
Professor 3 18%
Professor > Associate Professor 2 12%
Student > Master 2 12%
Other 2 12%
Unknown 1 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 47%
Biochemistry, Genetics and Molecular Biology 5 29%
Arts and Humanities 1 6%
Medicine and Dentistry 1 6%
Chemistry 1 6%
Other 0 0%
Unknown 1 6%
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 30 September 2014.
All research outputs
#13,180,410
of 22,764,165 outputs
Outputs from BMC Research Notes
#1,616
of 4,262 outputs
Outputs of similar age
#117,352
of 252,277 outputs
Outputs of similar age from BMC Research Notes
#56
of 150 outputs
Altmetric has tracked 22,764,165 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,262 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. 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 252,277 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 52% of its contemporaries.
We're also able to compare this research output to 150 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 62% of its contemporaries.