772 ms in total
405 ms
366 ms
1 ms
Welcome to predictcancer.org homepage info - get ready to check Predict Cancer best content right away, or after learning these important things about predictcancer.org
Prediction models developed by Maastro Clinic for lung, rectum, head and neck cancer, that predict the probability of survival or side-effects of the radiotherapy and chemotherapy treatment.
Visit predictcancer.orgWe analyzed Predictcancer.org page load time and found that the first response time was 405 ms and then it took 367 ms to load all DOM resources and completely render a web page. This is an excellent result, as only 5% of websites can load faster.
predictcancer.org performance score
name
value
score
weighting
Value5.5 s
6/100
10%
Value5.7 s
16/100
25%
Value6.8 s
34/100
10%
Value1,170 ms
21/100
30%
Value0
100/100
15%
Value6.7 s
56/100
10%
405 ms
Our browser made a total of 1 request to load all elements on the main page. We found that all of those requests were addressed to Predictcancer.org and no external sources were called. The less responsive or slowest element that took the longest time to load (405 ms) belongs to the original domain Predictcancer.org.
Page size can be reduced by 38 B (17%)
220 B
182 B
In fact, the total size of Predictcancer.org main page is 220 B. This result falls within the top 5000 of lightweight and thus fast loading web pages. Only a small number of websites need less resources to load. HTML takes 220 B which makes up the majority of the site volume.
Potential reduce by 38 B
HTML content can be minified and compressed by a website’s server. The most efficient way is to compress content using GZIP which reduces data amount travelling through the network between server and browser. HTML code on this page is well minified. It is highly recommended that content of this web page should be compressed using GZIP, as it can save up to 38 B or 17% of the original size.
We found no issues to fix!
0
0
Besides the initial HTML request, no CSS, Javascripts, AJAX or image files were requested in the course of web page rendering.
{{url}}
{{time}} ms
predictcancer.org accessibility score
Internationalization and localization
These are opportunities to improve the interpretation of your content by users in different locales.
Impact
Issue
<html> element does not have a [lang] attribute
Names and labels
These are opportunities to improve the semantics of the controls in your application. This may enhance the experience for users of assistive technology, like a screen reader.
Impact
Issue
Image elements do not have [alt] attributes
Links do not have a discernible name
predictcancer.org best practices score
Trust and Safety
Impact
Issue
Does not use HTTPS
Includes front-end JavaScript libraries with known security vulnerabilities
Ensure CSP is effective against XSS attacks
General
Impact
Issue
Detected JavaScript libraries
Browser errors were logged to the console
predictcancer.org SEO score
Content Best Practices
Format your HTML in a way that enables crawlers to better understand your app’s content.
Impact
Issue
Image elements do not have [alt] attributes
EN
N/A
UTF-8
Language claimed in HTML meta tag should match the language actually used on the web page. Otherwise Predictcancer.org can be misinterpreted by Google and other search engines. Our service has detected that English is used on the page, and neither this language nor any other was claimed in <html> or <meta> tags. Our system also found out that Predictcancer.org main page’s claimed encoding is utf-8. Use of this encoding format is the best practice as the main page visitors from all over the world won’t have any issues with symbol transcription.
{{og_description}}
predictcancer.org
Open Graph description is not detected on the main page of Predict Cancer. Lack of Open Graph description can be counter-productive for their social media presence, as such a description allows converting a website homepage (or other pages) into good-looking, rich and well-structured posts, when it is being shared on Facebook and other social media. For example, adding the following code snippet into HTML <head> tag will help to represent this web page correctly in social networks: