↓ Skip to main content

Article

Overview of attention for article published in Genome Biology (Online Edition), January 2001
Altmetric Badge

About this Attention Score

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

Mentioned by

wikipedia
5 Wikipedia pages

Citations

dimensions_citation
29 Dimensions

Readers on

mendeley
124 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Published in
Genome Biology (Online Edition), January 2001
DOI 10.1186/gb-2001-3-1-reviews0001
Pubmed ID
Authors

Gregory A Wray

Abstract

The use of DNA sequences to estimate the timing of evolutionary events is increasingly popular, although it is fraught with practical difficulties. But the exponential growth of relevant information and improved methods of analysis are providing increasingly reliable sequence-derived dates, and it may become possible to reconcile fossil-derived and molecular estimates of divergence times within the next few years.

Mendeley readers

The data shown below were compiled from readership statistics for 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 6%
India 3 2%
Italy 2 2%
Brazil 2 2%
Finland 1 <1%
Australia 1 <1%
Uganda 1 <1%
United Kingdom 1 <1%
Argentina 1 <1%
Other 2 2%
Unknown 103 83%

Demographic breakdown

Readers by professional status Count As %
Researcher 46 37%
Student > Ph. D. Student 27 22%
Professor 12 10%
Student > Bachelor 11 9%
Professor > Associate Professor 10 8%
Other 15 12%
Unknown 3 2%
Readers by discipline Count As %
Agricultural and Biological Sciences 84 68%
Biochemistry, Genetics and Molecular Biology 9 7%
Earth and Planetary Sciences 7 6%
Environmental Science 3 2%
Physics and Astronomy 2 2%
Other 9 7%
Unknown 10 8%

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 01 January 2018.
All research outputs
#5,605,367
of 17,353,889 outputs
Outputs from Genome Biology (Online Edition)
#2,722
of 3,593 outputs
Outputs of similar age
#90,723
of 296,684 outputs
Outputs of similar age from Genome Biology (Online Edition)
#9
of 10 outputs
Altmetric has tracked 17,353,889 research outputs across all sources so far. This one is in the 47th percentile – i.e., 47% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,593 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.6. This one is in the 16th percentile – i.e., 16% 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 296,684 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 62% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one.