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PubMatrix: a tool for multiplex literature mining

Overview of attention for article published in BMC Bioinformatics, December 2003
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

twitter
1 X user
patent
1 patent

Citations

dimensions_citation
168 Dimensions

Readers on

mendeley
195 Mendeley
citeulike
8 CiteULike
connotea
2 Connotea
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Title
PubMatrix: a tool for multiplex literature mining
Published in
BMC Bioinformatics, December 2003
DOI 10.1186/1471-2105-4-61
Pubmed ID
Authors

Kevin G Becker, Douglas A Hosack, Glynn Dennis, Richard A Lempicki, Tiffani J Bright, Chris Cheadle, Jim Engel

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 195 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 12 6%
United Kingdom 6 3%
France 2 1%
Germany 2 1%
Spain 2 1%
Australia 1 <1%
India 1 <1%
Egypt 1 <1%
Taiwan 1 <1%
Other 6 3%
Unknown 161 83%

Demographic breakdown

Readers by professional status Count As %
Researcher 41 21%
Student > Ph. D. Student 36 18%
Student > Master 26 13%
Professor 16 8%
Other 13 7%
Other 46 24%
Unknown 17 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 41 21%
Medicine and Dentistry 24 12%
Computer Science 22 11%
Social Sciences 22 11%
Biochemistry, Genetics and Molecular Biology 15 8%
Other 49 25%
Unknown 22 11%
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 16 June 2017.
All research outputs
#7,020,704
of 22,981,247 outputs
Outputs from BMC Bioinformatics
#2,699
of 7,308 outputs
Outputs of similar age
#31,999
of 133,836 outputs
Outputs of similar age from BMC Bioinformatics
#18
of 63 outputs
Altmetric has tracked 22,981,247 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 7,308 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 61% 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 133,836 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.