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Role of different non-coding RNAs as ovarian cancer biomarkers

Overview of attention for article published in Journal of Ovarian Research, June 2022
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

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3 X users

Citations

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15 Dimensions

Readers on

mendeley
15 Mendeley
Title
Role of different non-coding RNAs as ovarian cancer biomarkers
Published in
Journal of Ovarian Research, June 2022
DOI 10.1186/s13048-022-01002-3
Pubmed ID
Authors

Anam Beg, Rafat Parveen, Hassan Fouad, M. E. Yahia, Azza S. Hassanein

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 13%
Unspecified 1 7%
Professor 1 7%
Other 1 7%
Researcher 1 7%
Other 1 7%
Unknown 8 53%
Readers by discipline Count As %
Medicine and Dentistry 2 13%
Biochemistry, Genetics and Molecular Biology 2 13%
Unspecified 1 7%
Environmental Science 1 7%
Unknown 9 60%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 2022.
All research outputs
#14,168,358
of 22,707,247 outputs
Outputs from Journal of Ovarian Research
#170
of 581 outputs
Outputs of similar age
#205,950
of 439,455 outputs
Outputs of similar age from Journal of Ovarian Research
#3
of 19 outputs
Altmetric has tracked 22,707,247 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 581 research outputs from this source. They receive a mean Attention Score of 3.2. This one has gotten more attention than average, scoring higher than 67% 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 439,455 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 50% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.