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What the papers say: Text mining for genomics and systems biology

Overview of attention for article published in Human Genomics, October 2010
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
43 Dimensions

Readers on

mendeley
103 Mendeley
citeulike
4 CiteULike
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Title
What the papers say: Text mining for genomics and systems biology
Published in
Human Genomics, October 2010
DOI 10.1186/1479-7364-5-1-17
Pubmed ID
Authors

Nathan Harmston, Wendy Filsell, Michael PH Stumpf

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users 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 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
Australia 2 2%
Germany 1 <1%
Brazil 1 <1%
Sweden 1 <1%
France 1 <1%
India 1 <1%
Israel 1 <1%
Mexico 1 <1%
Other 1 <1%
Unknown 90 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 24%
Student > Ph. D. Student 22 21%
Student > Master 19 18%
Student > Bachelor 7 7%
Other 7 7%
Other 14 14%
Unknown 9 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 23%
Computer Science 22 21%
Biochemistry, Genetics and Molecular Biology 18 17%
Medicine and Dentistry 11 11%
Social Sciences 4 4%
Other 11 11%
Unknown 13 13%
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 21 December 2017.
All research outputs
#8,426,350
of 25,373,627 outputs
Outputs from Human Genomics
#207
of 564 outputs
Outputs of similar age
#39,467
of 108,269 outputs
Outputs of similar age from Human Genomics
#2
of 3 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 564 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has gotten more attention than average, scoring higher than 63% 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 108,269 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 63% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.