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POLYAR, a new computer program for prediction of poly(A) sites in human sequences

Overview of attention for article published in BMC Genomics, November 2010
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About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
49 Dimensions

Readers on

mendeley
52 Mendeley
citeulike
2 CiteULike
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Title
POLYAR, a new computer program for prediction of poly(A) sites in human sequences
Published in
BMC Genomics, November 2010
DOI 10.1186/1471-2164-11-646
Pubmed ID
Authors

Malik Nadeem Akhtar, Syed Abbas Bukhari, Zeeshan Fazal, Raheel Qamar, Ilham A Shahmuradov

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
United States 1 2%
Italy 1 2%
Canada 1 2%
Unknown 48 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 25%
Researcher 11 21%
Student > Doctoral Student 5 10%
Other 5 10%
Student > Bachelor 3 6%
Other 8 15%
Unknown 7 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 42%
Biochemistry, Genetics and Molecular Biology 13 25%
Engineering 2 4%
Medicine and Dentistry 2 4%
Business, Management and Accounting 1 2%
Other 5 10%
Unknown 7 13%
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 21 January 2017.
All research outputs
#7,510,637
of 22,940,083 outputs
Outputs from BMC Genomics
#3,620
of 10,680 outputs
Outputs of similar age
#54,030
of 180,441 outputs
Outputs of similar age from BMC Genomics
#31
of 82 outputs
Altmetric has tracked 22,940,083 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,680 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 59% 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 180,441 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 82 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.