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Using co-occurrence network structure to extract synonymous gene and protein names from MEDLINE abstracts

Overview of attention for article published in BMC Bioinformatics, April 2005
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Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
43 Dimensions

Readers on

mendeley
79 Mendeley
citeulike
5 CiteULike
connotea
2 Connotea
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Title
Using co-occurrence network structure to extract synonymous gene and protein names from MEDLINE abstracts
Published in
BMC Bioinformatics, April 2005
DOI 10.1186/1471-2105-6-103
Pubmed ID
Authors

AM Cohen, WR Hersh, C Dubay, K Spackman

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Belgium 1 1%
Unknown 76 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 19%
Researcher 15 19%
Student > Master 10 13%
Other 6 8%
Student > Bachelor 5 6%
Other 15 19%
Unknown 13 16%
Readers by discipline Count As %
Computer Science 18 23%
Agricultural and Biological Sciences 12 15%
Medicine and Dentistry 10 13%
Biochemistry, Genetics and Molecular Biology 8 10%
Engineering 7 9%
Other 10 13%
Unknown 14 18%
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 29 May 2018.
All research outputs
#8,475,076
of 25,287,709 outputs
Outputs from BMC Bioinformatics
#3,213
of 7,672 outputs
Outputs of similar age
#23,978
of 68,859 outputs
Outputs of similar age from BMC Bioinformatics
#10
of 17 outputs
Altmetric has tracked 25,287,709 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,672 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 50% 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 68,859 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.