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iir2014.uniroma2.it screenshot

Report Summary

  • 0

    Performance

  • 0

    Accessibility

  • 0

    Best Practices

  • 0

    SEO

iir2014.uniroma2.it

Semantic Analytics Group @ Uniroma2 | SAG is the Semantic Analytics Group at the University of Rome, Tor Vergata

Page Load Speed

5.2 sec in total

First Response

1.9 sec

Resources Loaded

3.1 sec

Page Rendered

244 ms

iir2014.uniroma2.it screenshot

About Website

Welcome to iir2014.uniroma2.it homepage info - get ready to check Iir 2014 Uniroma2 best content for Italy right away, or after learning these important things about iir2014.uniroma2.it

Visit iir2014.uniroma2.it

Key Findings

We analyzed Iir2014.uniroma2.it page load time and found that the first response time was 1.9 sec and then it took 3.3 sec to load all DOM resources and completely render a web page. This is a poor result, as 55% of websites can load faster.

Performance Metrics

iir2014.uniroma2.it performance score

0

Network Requests Diagram

iir2014.uniroma2.it

1876 ms

style.css

222 ms

nextgen_gallery_related_images.css

228 ms

page-list.css

226 ms

default.css

228 ms

Our browser made a total of 25 requests to load all elements on the main page. We found that all of those requests were addressed to Iir2014.uniroma2.it and no external sources were called. The less responsive or slowest element that took the longest time to load (1.9 sec) belongs to the original domain Iir2014.uniroma2.it.

Page Optimization Overview & Recommendations

Page size can be reduced by 140.2 kB (47%)

Content Size

295.7 kB

After Optimization

155.5 kB

  • HTML
  • Images
  • JavaScript
  • CSS

In fact, the total size of Iir2014.uniroma2.it main page is 295.7 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 138.6 kB which makes up the majority of the site volume.

HTML Optimization

-82%

Potential reduce by 17.3 kB

  • Original 21.2 kB
  • After minification 19.5 kB
  • After compression 3.9 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 17.3 kB or 82% of the original size.

Image Optimization

-23%

Potential reduce by 31.3 kB

  • Original 138.6 kB
  • After minification 107.2 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. Obviously, Iir 2014 Uniroma2 needs image optimization as it can save up to 31.3 kB or 23% of the original volume. The most popular and efficient tools for JPEG and PNG image optimization are Jpegoptim and PNG Crush.

JavaScript Optimization

-64%

Potential reduce by 67.7 kB

  • Original 106.4 kB
  • After minification 106.0 kB
  • After compression 38.7 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 67.7 kB or 64% of the original size.

CSS Optimization

-81%

Potential reduce by 23.8 kB

  • Original 29.6 kB
  • After minification 24.6 kB
  • After compression 5.7 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. Iir2014.uniroma2.it needs all CSS files to be minified and compressed as it can save up to 23.8 kB or 81% of the original size.

Requests Breakdown

Number of requests can be reduced by 9 (38%)

Requests Now

24

After Optimization

15

  • Images
  • JavaScript
  • CSS

The browser has sent 24 CSS, Javascripts, AJAX and image requests in order to completely render the main page of Iir 2014 Uniroma2. 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

iir2014.uniroma2.it

iir2014.uniroma2.it

1876 ms

style.css

style.css

222 ms

nextgen_gallery_related_images.css

nextgen_gallery_related_images.css

228 ms

page-list.css

page-list.css

226 ms

default.css

default.css

228 ms

jquery.js

jquery.js

801 ms

jquery-migrate.min.js

jquery-migrate.min.js

249 ms

ajax.js

ajax.js

344 ms

lightbox_context.js

lightbox_context.js

359 ms

dropdown.js

dropdown.js

347 ms

priimo.js

priimo.js

348 ms

jquery.ui.core.min.js

jquery.ui.core.min.js

261 ms

cropped-search_banner21.png

cropped-search_banner21.png

462 ms

rss_icon.png

rss_icon.png

146 ms

grad_dark.png

grad_dark.png

141 ms

menu_sep.png

menu_sep.png

143 ms

wrapper_right_bg.png

wrapper_right_bg.png

144 ms

content_inner_shadow.png

content_inner_shadow.png

141 ms

calendar_icon.png

calendar_icon.png

267 ms

author_icon.png

author_icon.png

264 ms

IIR2014_poster-200x200.jpg

IIR2014_poster-200x200.jpg

495 ms

grad.png

grad.png

256 ms

bullet.png

bullet.png

266 ms

nav_arrow_down.png

nav_arrow_down.png

328 ms

nav_arrow_right.png

nav_arrow_right.png

334 ms

SEO Factors

iir2014.uniroma2.it SEO score

0

Language and Encoding

  • Language Detected

    N/A

  • Language Claimed

    EN

  • Encoding

    UTF-8

Language claimed in HTML meta tag should match the language actually used on the web page. Otherwise Iir2014.uniroma2.it can be misinterpreted by Google and other search engines. Unfortunately we cannot identify language used on the page (probably there is a mix of languages, too little text or something else), while the claimed language is English. Our system also found out that Iir2014.uniroma2.it 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

iir2014.uniroma2.it

Open Graph description is not detected on the main page of Iir 2014 Uniroma2. 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: