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A paired-end sequencing strategy to map the complex landscape of transcription initiation

Overview of attention for article published in Nature Methods, May 2010
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
148 Dimensions

Readers on

mendeley
287 Mendeley
citeulike
9 CiteULike
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Title
A paired-end sequencing strategy to map the complex landscape of transcription initiation
Published in
Nature Methods, May 2010
DOI 10.1038/nmeth.1464
Pubmed ID
Authors

Ting Ni, David L Corcoran, Elizabeth A Rach, Shen Song, Eric P Spana, Yuan Gao, Uwe Ohler, Jun Zhu

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 287 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 14 5%
Germany 4 1%
United Kingdom 4 1%
Norway 2 <1%
Sweden 2 <1%
France 2 <1%
Argentina 2 <1%
Japan 2 <1%
Spain 2 <1%
Other 4 1%
Unknown 249 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 90 31%
Student > Ph. D. Student 83 29%
Student > Master 21 7%
Professor > Associate Professor 18 6%
Student > Bachelor 15 5%
Other 38 13%
Unknown 22 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 179 62%
Biochemistry, Genetics and Molecular Biology 45 16%
Medicine and Dentistry 15 5%
Computer Science 9 3%
Neuroscience 4 1%
Other 9 3%
Unknown 26 9%
Attention Score in Context

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 24 May 2022.
All research outputs
#6,431,007
of 22,849,304 outputs
Outputs from Nature Methods
#3,447
of 4,915 outputs
Outputs of similar age
#29,456
of 94,998 outputs
Outputs of similar age from Nature Methods
#28
of 40 outputs
Altmetric has tracked 22,849,304 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 4,915 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 34.7. This one is in the 28th percentile – i.e., 28% 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 94,998 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 67% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.