↓ Skip to main content

Physiological and biochemical characterization of egg extract of black widow spiders to uncover molecular basis of egg toxicity

Overview of attention for article published in Biological Research, May 2014
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
7 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
Physiological and biochemical characterization of egg extract of black widow spiders to uncover molecular basis of egg toxicity
Published in
Biological Research, May 2014
DOI 10.1186/0717-6287-47-17
Pubmed ID
Authors

Yizhong Yan, Jianjun Li, Yiya Zhang, Xiaozhen Peng, Tianyao Guo, Jirong Wang, Weijun Hu, Zhigui Duan, Xianchun Wang

Abstract

Black widow spider (L. tredecimguttatus) has toxic components not only in the venomous glands, but also in other parts of the body and its eggs. It is biologically important to investigate the molecular basis of the egg toxicity.

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.

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Professor 2 29%
Other 1 14%
Lecturer > Senior Lecturer 1 14%
Student > Bachelor 1 14%
Student > Ph. D. Student 1 14%
Other 0 0%
Unknown 1 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 57%
Biochemistry, Genetics and Molecular Biology 2 29%
Unknown 1 14%

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 18 September 2014.
All research outputs
#18,375,064
of 22,758,963 outputs
Outputs from Biological Research
#444
of 550 outputs
Outputs of similar age
#164,013
of 227,066 outputs
Outputs of similar age from Biological Research
#4
of 10 outputs
Altmetric has tracked 22,758,963 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 550 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 6th percentile – i.e., 6% 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 227,066 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 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.