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EchinoDB: an update to the web-based application for genomic and transcriptomic data on echinoderms

Overview of attention for article published in BMC Genomic Data, October 2022
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About this Attention Score

  • Among the highest-scoring outputs from this source (#26 of 126)
  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

twitter
5 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
2 Mendeley
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Title
EchinoDB: an update to the web-based application for genomic and transcriptomic data on echinoderms
Published in
BMC Genomic Data, October 2022
DOI 10.1186/s12863-022-01090-6
Pubmed ID
Authors

Varnika Mittal, Robert W. Reid, Denis Jacob Machado, Vladimir Mashanov, Daniel A. Janies

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 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 %
Student > Master 1 50%
Unknown 1 50%
Readers by discipline Count As %
Agricultural and Biological Sciences 1 50%
Unknown 1 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 02 November 2022.
All research outputs
#8,142,437
of 24,417,958 outputs
Outputs from BMC Genomic Data
#26
of 126 outputs
Outputs of similar age
#150,703
of 432,571 outputs
Outputs of similar age from BMC Genomic Data
#3
of 9 outputs
Altmetric has tracked 24,417,958 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 126 research outputs from this source. They receive a mean Attention Score of 2.2. This one has done well, scoring higher than 78% 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 432,571 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 63% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.