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Which gene did you mean?

Overview of attention for article published in BMC Bioinformatics, June 2005
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

twitter
17 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
34 Dimensions

Readers on

mendeley
62 Mendeley
citeulike
17 CiteULike
connotea
1 Connotea
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Title
Which gene did you mean?
Published in
BMC Bioinformatics, June 2005
DOI 10.1186/1471-2105-6-142
Pubmed ID
Authors

Barend Mons

Abstract

Computational Biology needs computer-readable information records. Increasingly, meta-analysed and pre-digested information is being used in the follow up of high throughput experiments and other investigations that yield massive data sets. Semantic enrichment of plain text is crucial for computer aided analysis. In general people will think about semantic tagging as just another form of text mining, and that term has quite a negative connotation in the minds of some biologists who have been disappointed by classical approaches of text mining. Efforts so far have tried to develop tools and technologies that retrospectively extract the correct information from text, which is usually full of ambiguities. Although remarkable results have been obtained in experimental circumstances, the wide spread use of information mining tools is lagging behind earlier expectations. This commentary proposes to make semantic tagging an integral process to electronic publishing.

X Demographics

X Demographics

The data shown below were collected from the profiles of 17 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 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 5%
Spain 2 3%
Malaysia 1 2%
Indonesia 1 2%
Sweden 1 2%
Switzerland 1 2%
Uruguay 1 2%
Philippines 1 2%
Unknown 51 82%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 26%
Student > Ph. D. Student 7 11%
Student > Master 6 10%
Student > Doctoral Student 6 10%
Professor 4 6%
Other 16 26%
Unknown 7 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 34%
Computer Science 12 19%
Arts and Humanities 6 10%
Medicine and Dentistry 5 8%
Biochemistry, Genetics and Molecular Biology 3 5%
Other 8 13%
Unknown 7 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 20 September 2023.
All research outputs
#2,534,140
of 25,432,721 outputs
Outputs from BMC Bioinformatics
#643
of 7,704 outputs
Outputs of similar age
#4,316
of 67,769 outputs
Outputs of similar age from BMC Bioinformatics
#2
of 34 outputs
Altmetric has tracked 25,432,721 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,704 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 done particularly well, scoring higher than 91% 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 67,769 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.