↓ Skip to main content

Hepatopancreas transcriptome analyses provide new insights into the molecular regulatory mechanism of fast ovary maturation in Macrobrachium nipponense

Overview of attention for article published in BMC Genomics, August 2022
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 tweeter
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
Hepatopancreas transcriptome analyses provide new insights into the molecular regulatory mechanism of fast ovary maturation in Macrobrachium nipponense
Published in
BMC Genomics, August 2022
DOI 10.1186/s12864-022-08851-8
Pubmed ID
Authors

Sufei Jiang, Wenyi Zhang, Yiwei Xiong, Dan Cheng, Jisheng Wang, Shubo Jin, Yongsheng Gong, Yan Wu, Hui Qiao, Hongtuo Fu

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

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 02 September 2022.
All research outputs
#15,199,024
of 22,601,066 outputs
Outputs from BMC Genomics
#6,643
of 10,586 outputs
Outputs of similar age
#193,803
of 341,090 outputs
Outputs of similar age from BMC Genomics
#3
of 3 outputs
Altmetric has tracked 22,601,066 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,586 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 29th percentile – i.e., 29% 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 341,090 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.