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A cross-species alignment tool (CAT)

Overview of attention for article published in BMC Bioinformatics, September 2007
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Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
30 Mendeley
citeulike
3 CiteULike
connotea
1 Connotea
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Title
A cross-species alignment tool (CAT)
Published in
BMC Bioinformatics, September 2007
DOI 10.1186/1471-2105-8-349
Authors

Heng Li, Liang Guan, Tao Liu, Yiran Guo, Wei-Mou Zheng, Gane Ka-Shu Wong, Jun Wang

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Brazil 1 3%
Unknown 28 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 40%
Professor 4 13%
Student > Ph. D. Student 4 13%
Student > Master 3 10%
Student > Bachelor 2 7%
Other 2 7%
Unknown 3 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 57%
Biochemistry, Genetics and Molecular Biology 6 20%
Medicine and Dentistry 2 7%
Computer Science 1 3%
Mathematics 1 3%
Other 0 0%
Unknown 3 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 18 December 2018.
All research outputs
#12,431,196
of 14,051,565 outputs
Outputs from BMC Bioinformatics
#4,844
of 5,248 outputs
Outputs of similar age
#316,736
of 371,165 outputs
Outputs of similar age from BMC Bioinformatics
#375
of 412 outputs
Altmetric has tracked 14,051,565 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,248 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 1st percentile – i.e., 1% 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 371,165 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 412 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.