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Development of dual reporter vector system for estimating translational activity of regulatory elements

Overview of attention for article published in BMC Plant Biology, July 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

twitter
4 tweeters

Readers on

mendeley
2 Mendeley
Summary Twitter
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Title
Development of dual reporter vector system for estimating translational activity of regulatory elements
Published in
BMC Plant Biology, July 2022
DOI 10.1186/s12870-022-03735-1
Authors

Aleksandra V. Suhorukova, Alexander A. Tyurin, Olga S. Pavlenko, Orkhan N. Mustafayev, Igor G. Sinelnikov, Irina V. Goldenkova-Pavlova

View on publisher site

Twitter Demographics

The data shown below were collected from the profiles of 4 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 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 50%
Unknown 1 50%
Readers by discipline Count As %
Social Sciences 1 50%
Unknown 1 50%

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 23 July 2022.
All research outputs
#14,021,919
of 22,925,760 outputs
Outputs from BMC Plant Biology
#1,081
of 3,271 outputs
Outputs of similar age
#193,775
of 434,693 outputs
Outputs of similar age from BMC Plant Biology
#16
of 98 outputs
Altmetric has tracked 22,925,760 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,271 research outputs from this source. They receive a mean Attention Score of 3.0. This one has gotten more attention than average, scoring higher than 64% 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 434,693 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 53% of its contemporaries.
We're also able to compare this research output to 98 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.

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