Tools & Wizards About Us

Report Summary

  • 63

    Performance

    Renders faster than
    77% of other websites

  • 92

    Accessibility

    Visual factors better than
    that of 78% of websites

  • 92

    Best Practices

    More advanced features
    available than in
    80% of websites

  • 71

    SEO

    Google-friendlier than
    30% of websites

annals.math.princeton.edu

Annals of Mathematics | Annals of Mathematics, Journal

Page Load Speed

829 ms in total

First Response

21 ms

Resources Loaded

373 ms

Page Rendered

435 ms

About Website

Click here to check amazing Annals Math Princeton content for United States. Otherwise, check out these important facts you probably never knew about annals.math.princeton.edu

Visit annals.math.princeton.edu

Key Findings

We analyzed Annals.math.princeton.edu page load time and found that the first response time was 21 ms and then it took 808 ms to load all DOM resources and completely render a web page. This is quite a good result, as only 15% of websites can load faster.

Performance Metrics

annals.math.princeton.edu performance score

63

Measured Metrics

name

value

score

weighting

FCP (First Contentful Paint)

Value3.2 s

44/100

10%

LCP (Largest Contentful Paint)

Value7.3 s

5/100

25%

SI (Speed Index)

Value3.2 s

92/100

10%

TBT (Total Blocking Time)

Value180 ms

91/100

30%

CLS (Cumulative Layout Shift)

Value0

100/100

15%

TTI (Time to Interactive)

Value6.1 s

63/100

10%

Network Requests Diagram

annals.math.princeton.edu

21 ms

annals.math.princeton.edu

181 ms

MathJax.js

34 ms

style.css

30 ms

style.min.css

46 ms

Our browser made a total of 20 requests to load all elements on the main page. We found that 70% of them (14 requests) were addressed to the original Annals.math.princeton.edu, 10% (2 requests) were made to Cdnjs.cloudflare.com and 10% (2 requests) were made to Google-analytics.com. The less responsive or slowest element that took the longest time to load (181 ms) belongs to the original domain Annals.math.princeton.edu.

Page Optimization Overview & Recommendations

Page size can be reduced by 271.7 kB (30%)

Content Size

917.2 kB

After Optimization

645.6 kB

  • HTML
  • Images
  • JavaScript
  • CSS

In fact, the total size of Annals.math.princeton.edu main page is 917.2 kB. This result falls beyond the top 1M of websites and identifies a large and not optimized web page that may take ages to load. 15% of websites need less resources to load. Images take 610.3 kB which makes up the majority of the site volume.

HTML Optimization

-87%

Potential reduce by 106.7 kB

  • Original 122.4 kB
  • After minification 120.9 kB
  • After compression 15.7 kB

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 106.7 kB or 87% of the original size.

Image Optimization

-5%

Potential reduce by 29.8 kB

  • Original 610.3 kB
  • After minification 580.5 kB

Image size optimization can help to speed up a website loading time. The chart above shows the difference between the size before and after optimization. Annals Math Princeton images are well optimized though.

JavaScript Optimization

-38%

Potential reduce by 18.1 kB

  • Original 47.7 kB
  • After minification 47.7 kB
  • After compression 29.6 kB

It’s better to minify JavaScript in order to improve website performance. The diagram shows the current total size of all JavaScript files against the prospective JavaScript size after its minification and compression. It is highly recommended that all JavaScript files should be compressed and minified as it can save up to 18.1 kB or 38% of the original size.

CSS Optimization

-86%

Potential reduce by 117.1 kB

  • Original 136.8 kB
  • After minification 126.6 kB
  • After compression 19.7 kB

CSS files minification is very important to reduce a web page rendering time. The faster CSS files can load, the earlier a page can be rendered. Annals.math.princeton.edu needs all CSS files to be minified and compressed as it can save up to 117.1 kB or 86% of the original size.

Requests Breakdown

Number of requests can be reduced by 9 (53%)

Requests Now

17

After Optimization

8

  • AJAX
  • Images
  • JavaScript
  • CSS

The browser has sent 17 CSS, Javascripts, AJAX and image requests in order to completely render the main page of Annals Math Princeton. We recommend that multiple CSS and JavaScript files should be merged into one by each type, as it can help reduce assets requests from 7 to 1 for JavaScripts and from 4 to 1 for CSS and as a result speed up the page load time.

Network Requests Diagram

Accessibility Review

annals.math.princeton.edu accessibility score

92

Accessibility Issues

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

High

Form elements do not have associated labels

Best Practices

annals.math.princeton.edu best practices score

92

Areas of Improvement

Trust and Safety

Impact

Issue

High

Does not use HTTPS

Low

Ensure CSP is effective against XSS attacks

General

Impact

Issue

Low

Detected JavaScript libraries

SEO Factors

annals.math.princeton.edu SEO score

71

Search Engine Optimization Advices

Language and Encoding

  • Language Detected

    EN

  • Language Claimed

    EN

  • Encoding

    UTF-8

Language claimed in HTML meta tag should match the language actually used on the web page. Otherwise Annals.math.princeton.edu can be misinterpreted by Google and other search engines. Our service has detected that English is used on the page, and it matches the claimed language. Our system also found out that Annals.math.princeton.edu 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.

Social Sharing Optimization

Open Graph description is not detected on the main page of Annals Math Princeton. 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: