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Userscripts for the Life Sciences

Overview of attention for article published in BMC Bioinformatics, December 2007
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#19 of 4,956)
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

blogs
8 blogs
twitter
3 tweeters
patent
1 patent
q&a
2 Q&A threads

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
60 Mendeley
citeulike
29 CiteULike
connotea
8 Connotea
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Title
Userscripts for the Life Sciences
Published in
BMC Bioinformatics, December 2007
DOI 10.1186/1471-2105-8-487
Pubmed ID
Authors

Egon L Willighagen, Noel M O'Boyle, Harini Gopalakrishnan, Dazhi Jiao, Rajarshi Guha, Christoph Steinbeck, David J Wild

Abstract

The web has seen an explosion of chemistry and biology related resources in the last 15 years: thousands of scientific journals, databases, wikis, blogs and resources are available with a wide variety of types of information. There is a huge need to aggregate and organise this information. However, the sheer number of resources makes it unrealistic to link them all in a centralised manner. Instead, search engines to find information in those resources flourish, and formal languages like Resource Description Framework and Web Ontology Language are increasingly used to allow linking of resources. A recent development is the use of userscripts to change the appearance of web pages, by on-the-fly modification of the web content. This opens possibilities to aggregate information and computational results from different web resources into the web page of one of those resources.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters 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 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 5 8%
United States 4 7%
Sweden 2 3%
Germany 1 2%
Mexico 1 2%
Argentina 1 2%
France 1 2%
Netherlands 1 2%
Canada 1 2%
Other 0 0%
Unknown 43 72%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 42%
Student > Ph. D. Student 13 22%
Other 6 10%
Professor 6 10%
Student > Postgraduate 5 8%
Other 5 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 34 57%
Chemistry 6 10%
Computer Science 6 10%
Medicine and Dentistry 4 7%
Biochemistry, Genetics and Molecular Biology 4 7%
Other 6 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 56. 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 07 July 2018.
All research outputs
#296,218
of 13,189,004 outputs
Outputs from BMC Bioinformatics
#19
of 4,956 outputs
Outputs of similar age
#288,183
of 12,565,220 outputs
Outputs of similar age from BMC Bioinformatics
#19
of 4,956 outputs
Altmetric has tracked 13,189,004 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,956 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 99% 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 12,565,220 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 97% of its contemporaries.
We're also able to compare this research output to 4,956 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 99% of its contemporaries.