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Overview of attention for article published in Genome Biology (Online Edition), January 2006
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)

Mentioned by

1 tweeter
1 patent
5 Wikipedia pages


370 Dimensions

Readers on

400 Mendeley
1 Connotea
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Published in
Genome Biology (Online Edition), January 2006
DOI 10.1186/gb-2006-7-5-216
Pubmed ID

Ruby HP Law, Qingwei Zhang, Sheena McGowan, Ashley M Buckle, Gary A Silverman, Wilson Wong, Carlos J Rosado, Chris G Langendorf, Rob N Pike, Philip I Bird, James C Whisstock


Serpins are a broadly distributed family of protease inhibitors that use a conformational change to inhibit target enzymes. They are central in controlling many important proteolytic cascades, including the mammalian coagulation pathways. Serpins are conformationally labile and many of the disease-linked mutations of serpins result in misfolding or in pathogenic, inactive polymers.

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

Geographical breakdown

Country Count As %
United States 6 2%
France 2 <1%
Germany 2 <1%
Italy 2 <1%
Spain 2 <1%
India 1 <1%
Finland 1 <1%
South Africa 1 <1%
United Kingdom 1 <1%
Other 6 2%
Unknown 376 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 91 23%
Researcher 72 18%
Student > Bachelor 69 17%
Student > Master 58 14%
Student > Postgraduate 19 5%
Other 63 16%
Unknown 28 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 147 37%
Biochemistry, Genetics and Molecular Biology 107 27%
Medicine and Dentistry 35 9%
Chemistry 17 4%
Immunology and Microbiology 14 4%
Other 39 10%
Unknown 41 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 14 March 2020.
All research outputs
of 15,822,879 outputs
Outputs from Genome Biology (Online Edition)
of 3,397 outputs
Outputs of similar age
of 289,271 outputs
Outputs of similar age from Genome Biology (Online Edition)
of 8 outputs
Altmetric has tracked 15,822,879 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,397 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.6. This one is in the 40th percentile – i.e., 40% 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 289,271 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one.