Despite animal testing being a controversial topic for many years, it is still widely used globally to assess the safety of products and test the efficacy of new treatments and products. In 2020, the United States was the world’s largest user of animals in research and testing, with around 20 million animals used research and testing, followed by China where it is estimated that around 16 million animals were used in research and testing in that year. Animal testing is used especially in the medical, cosmetic, and chemical industries.

Animal Testing in the EU

The European Union also reported some 9.4 million animals used research and testing as of 2020. Basic research, and translational and applied research are the two leading purposes of animal testing in the European Union. Mice represent the most commonly used animal in research and testing in the EU, representing almost half of all animals used in research and testing, followed by fish and rats.

Animal Testing in Great Britain

Animal testing in Great Britain was most common in basic scientific research on the nervous system and the immune system, and most procedures on animals for scientific experiments in that year in Great Britain were conducted by universities and medical schools. As in the EU, mice were the most commonly used animals in research and testing, followed by domestic fowl and rats.

In 2019, 797,546 animals were used for research in research facilities in the United States. This is an increase from the previous year, when about 780,070 animals were used for research in the country.

Global Animals Used in Research and Testing market size 2025 was XX Million. Animals Used in Research and Testing Industry compound annual growth rate (CAGR) will be XX% from 2025 till 2033.

This statistic shows the likelihood of consumers in the United States to stop purchasing from their favorite cosmetics/makeup brand if it were reported that the brand test their products on animals, as of April 2017. During the survey, 32 percent of consumers reported that they would very likely stop purchasing from their favorite brand if they tested on animals.

This graph shows how the impact factor of ^ is computed. The left axis depicts the number of papers published in years X-1 and X-2, and the right axis displays their citations in year X.

The graph shows the changes in the impact factor of ^ and its corresponding percentile for the sake of comparison with the entire literature. Impact Factor is the most common scientometric index, which is defined by the number of citations of papers in two preceding years divided by the number of papers published in those years.

The initial worksheet comprises raw data for Figure 1, in addition to a sample calculation of the calcium response for a cholinergically stimulated rat sweat gland. The second worksheet contains raw data from freshly isolated and cryopreserved human sweat glands during the cholinergic stimulation shown in Figure 2. The third worksheet contains raw data for multiple sequential cholinergic stimulation of rat and human sweat glands with and without atropine inhibition, as shown in Figure 3. (XLSX)

Social network analysis is a suite of approaches for exploring relational data. Two approaches commonly used to analyse animal social network data are permutation-based tests of significance and exponential random graph models. However, the performance of these approaches when analysing different types of network data has not been simultaneously evaluated. Here we test both approaches to determine their performance when analysing a range of biologically realistic simulated animal social networks. We examined the false positive and false negative error rate of an effect of a two-level explanatory variable (e.g. sex) on the number and combined strength of an individual’s network connections. We measured error rates for two types of simulated data collection methods in a range of network structures, and with/without a confounding effect and missing observations. Both methods performed consistently well in networks of dyadic interactions, and worse on networks constructed using observations...

Network of 46 papers and 63 citation links related to "Evaluation of Liver Support Systems for Preclinical Testing by Animal Trials".

Exports - Other Animal Feeds, N.E.C. (Census Basis) in the United States decreased to 1012.12 USD Million in February from 1030.81 USD Million in January of 2024. This dataset includes a chart with historical data for the United States Exports of Other Animal Feeds, N.e.c..

Network of 45 papers and 63 citation links related to "Constraints on the Delivery of Animal-Source Foods to Infants and Young Children: Case Studies from Five Countries".

Each tab includes data for the noted graphs in Figs 1–5, plus a tab for data mentioned in the text. (XLSX)

Network of 45 papers and 83 citation links related to "Molecular tests for coat colours in horses".

Network of 46 papers and 76 citation links related to "Further studies on the inhibition of sterol biosynthesis in animal cells by 15-oxygenated sterols".