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How to improve your PubMed/MEDLINE searches: 1. background and basic searching

Overview of attention for article published in Journal of Telemedicine and Telecare, November 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

twitter
1 X user
wikipedia
1 Wikipedia page
googleplus
1 Google+ user

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
79 Mendeley
citeulike
1 CiteULike
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Title
How to improve your PubMed/MEDLINE searches: 1. background and basic searching
Published in
Journal of Telemedicine and Telecare, November 2013
DOI 10.1177/1357633x13512061
Pubmed ID
Authors

Farhad Fatehi, Leonard C Gray, Richard Wootton

Abstract

PubMed provides free access via the Internet to more than 23 million records, of which over 19 million are from the MEDLINE database of journal articles. PubMed also provides access to other databases, such as the NCBI Bookshelf. To perform a basic search, you can simply enter the search terms or the concept that you are looking for in the search box. However, taking care to clarify your key concepts may save much time later on, because a non-specific search is likely to produce an overwhelming number of result hits. One way to make your search more specific is to specify which field you want to search using field tags. By default, the results of a search are sorted by the date added to PubMed and displayed in summary format with 20 result hits (records) on each page. In summary format, the title of the article, list of authors, source of information (e.g., journal name followed by date of publication, volume, issue, pages) and the unique PubMed record number called the PubMed identifier (PMID) are shown. Although information is stored about the articles, PubMed/MEDLINE does not store the full text of the papers themselves. However, PubMedCentral (PMC) stores more than 2.8 million articles (roughly 10% of the articles in PubMed) and provides access to them for free to the users.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 1 1%
Brazil 1 1%
India 1 1%
Spain 1 1%
United States 1 1%
Unknown 74 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 15%
Librarian 9 11%
Researcher 9 11%
Student > Ph. D. Student 9 11%
Student > Bachelor 9 11%
Other 18 23%
Unknown 13 16%
Readers by discipline Count As %
Medicine and Dentistry 21 27%
Nursing and Health Professions 8 10%
Computer Science 6 8%
Social Sciences 5 6%
Agricultural and Biological Sciences 4 5%
Other 16 20%
Unknown 19 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 2017.
All research outputs
#5,865,494
of 22,729,647 outputs
Outputs from Journal of Telemedicine and Telecare
#289
of 1,152 outputs
Outputs of similar age
#54,065
of 215,641 outputs
Outputs of similar age from Journal of Telemedicine and Telecare
#4
of 21 outputs
Altmetric has tracked 22,729,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,152 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. This one has gotten more attention than average, scoring higher than 74% 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 215,641 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.