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A Study on Pubmed Search Tag Usage Pattern: Association Rule Mining of a Full-day Pubmed Query Log

Overview of attention for article published in BMC Medical Informatics and Decision Making, January 2013
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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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

blogs
1 blog
twitter
17 tweeters

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
47 Mendeley
citeulike
2 CiteULike
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Title
A Study on Pubmed Search Tag Usage Pattern: Association Rule Mining of a Full-day Pubmed Query Log
Published in
BMC Medical Informatics and Decision Making, January 2013
DOI 10.1186/1472-6947-13-8
Pubmed ID
Authors

Abu Saleh Mohammad Mosa, Illhoi Yoo

Abstract

The practice of evidence-based medicine requires efficient biomedical literature search such as PubMed/MEDLINE. Retrieval performance relies highly on the efficient use of search field tags. The purpose of this study was to analyze PubMed log data in order to understand the usage pattern of search tags by the end user in PubMed/MEDLINE search.

Twitter Demographics

The data shown below were collected from the profiles of 17 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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
Australia 1 2%
Austria 1 2%
Unknown 43 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 19%
Researcher 9 19%
Other 6 13%
Librarian 6 13%
Student > Bachelor 3 6%
Other 7 15%
Unknown 7 15%
Readers by discipline Count As %
Computer Science 17 36%
Medicine and Dentistry 7 15%
Agricultural and Biological Sciences 6 13%
Social Sciences 3 6%
Business, Management and Accounting 2 4%
Other 5 11%
Unknown 7 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 11 August 2014.
All research outputs
#942,450
of 13,254,778 outputs
Outputs from BMC Medical Informatics and Decision Making
#73
of 1,194 outputs
Outputs of similar age
#17,735
of 251,953 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#12
of 159 outputs
Altmetric has tracked 13,254,778 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 1,194 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 93% 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 251,953 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 92% of its contemporaries.
We're also able to compare this research output to 159 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 92% of its contemporaries.