↓ Skip to main content

XMPP for cloud computing in bioinformatics supporting discovery and invocation of asynchronous web services

Overview of attention for article published in BMC Bioinformatics, September 2009
Altmetric Badge

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 (94th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

blogs
2 blogs
twitter
4 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
40 Dimensions

Readers on

mendeley
102 Mendeley
citeulike
25 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
XMPP for cloud computing in bioinformatics supporting discovery and invocation of asynchronous web services
Published in
BMC Bioinformatics, September 2009
DOI 10.1186/1471-2105-10-279
Pubmed ID
Authors

Johannes Wagener, Ola Spjuth, Egon L Willighagen, Jarl ES Wikberg

Abstract

Life sciences make heavily use of the web for both data provision and analysis. However, the increasing amount of available data and the diversity of analysis tools call for machine accessible interfaces in order to be effective. HTTP-based Web service technologies, like the Simple Object Access Protocol (SOAP) and REpresentational State Transfer (REST) services, are today the most common technologies for this in bioinformatics. However, these methods have severe drawbacks, including lack of discoverability, and the inability for services to send status notifications. Several complementary workarounds have been proposed, but the results are ad-hoc solutions of varying quality that can be difficult to use.

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 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 4 4%
United Kingdom 4 4%
United States 3 3%
Netherlands 3 3%
Brazil 3 3%
France 1 <1%
Australia 1 <1%
Bulgaria 1 <1%
Portugal 1 <1%
Other 8 8%
Unknown 73 72%

Demographic breakdown

Readers by professional status Count As %
Researcher 35 34%
Student > Ph. D. Student 19 19%
Student > Master 12 12%
Student > Bachelor 7 7%
Other 6 6%
Other 16 16%
Unknown 7 7%
Readers by discipline Count As %
Computer Science 35 34%
Agricultural and Biological Sciences 35 34%
Engineering 6 6%
Chemistry 5 5%
Pharmacology, Toxicology and Pharmaceutical Science 4 4%
Other 9 9%
Unknown 8 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 24 January 2017.
All research outputs
#1,791,097
of 25,079,131 outputs
Outputs from BMC Bioinformatics
#337
of 7,644 outputs
Outputs of similar age
#5,299
of 98,314 outputs
Outputs of similar age from BMC Bioinformatics
#2
of 51 outputs
Altmetric has tracked 25,079,131 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,644 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 95% 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 98,314 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 94% of its contemporaries.
We're also able to compare this research output to 51 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 98% of its contemporaries.