↓ Skip to main content

Identification, expression, and artificial selection of silkworm epigenetic modification enzymes

Overview of attention for article published in BMC Genomics, October 2020
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

twitter
3 tweeters

Readers on

mendeley
2 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Identification, expression, and artificial selection of silkworm epigenetic modification enzymes
Published in
BMC Genomics, October 2020
DOI 10.1186/s12864-020-07155-z
Pubmed ID
Authors

Rui Gao, Chun-Lin Li, Xiao-Ling Tong, Min-Jin Han, Kun-Peng Lu, Shu-Bo Liang, Hai Hu, Yue Luan, Bi-Li Zhang, Yan-Yu Liu, Fang-Yin Dai

Twitter Demographics

The data shown below were collected from the profiles of 3 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 %
Student > Ph. D. Student 1 50%
Student > Bachelor 1 50%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 100%

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 25 October 2020.
All research outputs
#10,489,738
of 17,522,501 outputs
Outputs from BMC Genomics
#4,880
of 9,328 outputs
Outputs of similar age
#207,489
of 384,720 outputs
Outputs of similar age from BMC Genomics
#278
of 675 outputs
Altmetric has tracked 17,522,501 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,328 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 43rd percentile – i.e., 43% 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 384,720 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 675 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.