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The RHNumtS compilation: Features and bioinformatics approaches to locate and quantify Human NumtS

Overview of attention for article published in BMC Genomics, June 2008
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Mentioned by

wikipedia
2 Wikipedia pages

Readers on

mendeley
50 Mendeley
citeulike
1 CiteULike
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Title
The RHNumtS compilation: Features and bioinformatics approaches to locate and quantify Human NumtS
Published in
BMC Genomics, June 2008
DOI 10.1186/1471-2164-9-267
Pubmed ID
Authors

Daniela Lascaro, Stefano Castellana, Giuseppe Gasparre, Giovanni Romeo, Cecilia Saccone, Marcella Attimonelli

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
Cuba 1 2%
Belgium 1 2%
Unknown 46 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 34%
Student > Ph. D. Student 10 20%
Professor > Associate Professor 6 12%
Student > Bachelor 4 8%
Student > Master 4 8%
Other 3 6%
Unknown 6 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 42%
Biochemistry, Genetics and Molecular Biology 14 28%
Medicine and Dentistry 4 8%
Computer Science 2 4%
Business, Management and Accounting 1 2%
Other 1 2%
Unknown 7 14%
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 24 January 2022.
All research outputs
#7,531,132
of 22,979,862 outputs
Outputs from BMC Genomics
#3,628
of 10,687 outputs
Outputs of similar age
#28,712
of 82,815 outputs
Outputs of similar age from BMC Genomics
#10
of 32 outputs
Altmetric has tracked 22,979,862 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 10,687 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 82,815 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.