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ask MEDLINE: a free-text, natural language query tool for MEDLINE/PubMed

Overview of attention for article published in BMC Medical Informatics and Decision Making, March 2005
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Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
36 Dimensions

Readers on

mendeley
59 Mendeley
citeulike
6 CiteULike
connotea
2 Connotea
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Title
ask MEDLINE: a free-text, natural language query tool for MEDLINE/PubMed
Published in
BMC Medical Informatics and Decision Making, March 2005
DOI 10.1186/1472-6947-5-5
Pubmed ID
Authors

Paul Fontelo, Fang Liu, Michael Ackerman

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 7%
Spain 2 3%
India 1 2%
Brazil 1 2%
Unknown 51 86%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 20%
Researcher 12 20%
Student > Ph. D. Student 10 17%
Other 6 10%
Librarian 5 8%
Other 12 20%
Unknown 2 3%
Readers by discipline Count As %
Computer Science 23 39%
Medicine and Dentistry 16 27%
Agricultural and Biological Sciences 9 15%
Neuroscience 2 3%
Nursing and Health Professions 2 3%
Other 6 10%
Unknown 1 2%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 19 June 2015.
All research outputs
#3,696,454
of 5,251,998 outputs
Outputs from BMC Medical Informatics and Decision Making
#684
of 830 outputs
Outputs of similar age
#129,372
of 184,509 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#30
of 41 outputs
Altmetric has tracked 5,251,998 research outputs across all sources so far. This one is in the 16th percentile – i.e., 16% of other outputs scored the same or lower than it.
So far Altmetric has tracked 830 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 184,509 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.