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The Yeast Nucleosome Atlas (YNA) database: an integrative gene mining platform for studying chromatin structure and its regulation in yeast

Overview of attention for article published in BMC Genomics, December 2014
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (59th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

twitter
4 tweeters

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
19 Mendeley
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Title
The Yeast Nucleosome Atlas (YNA) database: an integrative gene mining platform for studying chromatin structure and its regulation in yeast
Published in
BMC Genomics, December 2014
DOI 10.1186/1471-2164-15-s9-s5
Pubmed ID
Authors

Po-Cheng Hung, Tzu-Hsien Yang, Hung-Jiun Liaw, Wei-Sheng Wu

Abstract

Histone modification and remodeling play crucial roles in regulating gene transcription. These post-translational modifications of histones function in a combinatorial fashion and can be recognized by specific histone-binding proteins, thus regulating gene transcription. Therefore, understanding the combinatorial patterns of the histone code is vital to understanding the associated biological processes. However, most of the datasets regarding histone modification and chromatin regulation are scattered across various studies, and no comprehensive search and query tool has yet been made available to retrieve genes bearing specific histone modification patterns and regulatory proteins.

Twitter Demographics

The data shown below were collected from the profiles of 4 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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 5%
Unknown 18 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 21%
Student > Master 4 21%
Professor > Associate Professor 2 11%
Student > Bachelor 2 11%
Student > Doctoral Student 2 11%
Other 3 16%
Unknown 2 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 37%
Biochemistry, Genetics and Molecular Biology 5 26%
Computer Science 2 11%
Environmental Science 1 5%
Social Sciences 1 5%
Other 0 0%
Unknown 3 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 19 December 2014.
All research outputs
#2,025,308
of 4,691,823 outputs
Outputs from BMC Genomics
#2,066
of 4,322 outputs
Outputs of similar age
#60,543
of 154,696 outputs
Outputs of similar age from BMC Genomics
#126
of 294 outputs
Altmetric has tracked 4,691,823 research outputs across all sources so far. This one has received more attention than most of these and is in the 55th percentile.
So far Altmetric has tracked 4,322 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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 154,696 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 59% of its contemporaries.
We're also able to compare this research output to 294 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 52% of its contemporaries.