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Development and evaluation of a search filter to identify prognostic factor studies in Ovid MEDLINE

Overview of attention for article published in BMC Medical Research Methodology, April 2022
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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 (87th percentile)

Mentioned by

twitter
22 tweeters

Readers on

mendeley
4 Mendeley
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Title
Development and evaluation of a search filter to identify prognostic factor studies in Ovid MEDLINE
Published in
BMC Medical Research Methodology, April 2022
DOI 10.1186/s12874-022-01595-9
Pubmed ID
Authors

Elena Stallings, Andrea Gaetano-Gil, Noelia Alvarez-Diaz, Ivan Solà, Jesús López-Alcalde, Daniel Molano, Javier Zamora

Twitter Demographics

The data shown below were collected from the profiles of 22 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 25%
Librarian 1 25%
Student > Ph. D. Student 1 25%
Unknown 1 25%
Readers by discipline Count As %
Unspecified 1 25%
Computer Science 1 25%
Medicine and Dentistry 1 25%
Unknown 1 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 06 May 2022.
All research outputs
#1,961,542
of 21,738,040 outputs
Outputs from BMC Medical Research Methodology
#307
of 1,922 outputs
Outputs of similar age
#41,545
of 341,538 outputs
Outputs of similar age from BMC Medical Research Methodology
#1
of 1 outputs
Altmetric has tracked 21,738,040 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,922 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one has done well, scoring higher than 84% 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 341,538 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them