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In Silico Identification of Novel microRNAs and Targets Using EST Analysis in Allium cepa L.

Overview of attention for article published in Interdisciplinary Sciences: Computational Life Sciences, June 2017
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user

Citations

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11 Dimensions

Readers on

mendeley
16 Mendeley
Title
In Silico Identification of Novel microRNAs and Targets Using EST Analysis in Allium cepa L.
Published in
Interdisciplinary Sciences: Computational Life Sciences, June 2017
DOI 10.1007/s12539-017-0240-9
Pubmed ID
Authors

Bahram Baghban Kohnehrouz, Meysam Bastami, Shahnoush Nayeri

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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 19%
Student > Ph. D. Student 2 13%
Professor 2 13%
Student > Doctoral Student 1 6%
Student > Master 1 6%
Other 1 6%
Unknown 6 38%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 31%
Biochemistry, Genetics and Molecular Biology 3 19%
Computer Science 1 6%
Business, Management and Accounting 1 6%
Unknown 6 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 22 January 2019.
All research outputs
#18,664,348
of 23,124,001 outputs
Outputs from Interdisciplinary Sciences: Computational Life Sciences
#167
of 297 outputs
Outputs of similar age
#241,704
of 315,738 outputs
Outputs of similar age from Interdisciplinary Sciences: Computational Life Sciences
#2
of 6 outputs
Altmetric has tracked 23,124,001 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 297 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 30th percentile – i.e., 30% of its peers scored the same or lower than it.
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 315,738 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.