From b9944ee1a4b07edda741cdfc89abf0715f65a164 Mon Sep 17 00:00:00 2001
From: Jules Laplace <julescarbon@gmail.com>
Date: Sat, 30 Mar 2019 15:14:44 +0100
Subject: rebuild

---
 site/public/datasets/hrt_transgender/index.html | 15 ++++++++++++---
 1 file changed, 12 insertions(+), 3 deletions(-)

(limited to 'site/public/datasets/hrt_transgender')

diff --git a/site/public/datasets/hrt_transgender/index.html b/site/public/datasets/hrt_transgender/index.html
index 5211ac7e..8ebc063e 100644
--- a/site/public/datasets/hrt_transgender/index.html
+++ b/site/public/datasets/hrt_transgender/index.html
@@ -33,7 +33,7 @@
 
   <p>
     This bar chart presents a ranking of the top countries where citations originated.  Mouse over individual columns
-    to see yearly totals.  Colors are only assigned to the top 10 overall countries.
+    to see yearly totals.  These charts show only the top 10 countries overall.
   </p>
  
  </section>
@@ -41,6 +41,15 @@
 <section class="applet_container">
  <div class="applet" data-payload="{&quot;command&quot;: &quot;chart&quot;}"></div>
 </section><section>
+  <p>
+    These pie charts show overall totals based on country and institution type.
+  </p>
+ 
+ </section>
+
+<section class="applet_container">
+ <div class="applet" data-payload="{&quot;command&quot;: &quot;piechart&quot;}"></div>
+</section><section>
 	
 	<h3>Information Supply Chain</h3>
 <!-- 
@@ -68,7 +77,7 @@
 	<div class="map-legend-item edu">Academic</div>
 	<div class="map-legend-item com">Industry</div>
 	<div class="map-legend-item gov">Government</div> 
-	Data is compiled from <a href="https://www.semanticscholar.org">Semantic Scholar</a> and not yet manually verified.
+	Data is compiled from <a href="https://www.semanticscholar.org">Semantic Scholar</a> and has been manually verified to show usage of HRT Transgender.
 </div>
 
 <section>
@@ -89,7 +98,7 @@
   <h3>Citations</h3>
   <p>
     Citations were collected from <a href="https://www.semanticscholar.org">Semantic Scholar</a>, a website which aggregates
-    and indexes research papers.  Metadata was extracted from these papers, including extracting names of institutions automatically from PDFs, and then the addresses were geocoded.  Data is not yet manually verified, and reflects anytime the paper was cited.  Some papers may only mention the dataset in passing, while others use it as part of their research methodology.
+    and indexes research papers.  The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources.  These papers have been manually verified to show that researchers downloaded and used the dataset to train and/or test machine learning algorithms.
   </p>
   <p>
     Add button/link to download CSV
-- 
cgit v1.2.3-70-g09d2