ef251c6bc7
Also add a model for registering an alias for an affiliation so that we can group affiliations that are considered the same for statistical purposes, and a model for registering unimportant endings like Inc. and GmbH. Affiliation grouping is done through three means: stripping uninteresting endings, merging entries that only differ in case and aliases that map from case-insensitive alias to name. Stripping endings and merging based on case seem to reduce the number of needed manually maintained aliases greatly. - Legacy-Id: 12785
60 lines
1.2 KiB
HTML
60 lines
1.2 KiB
HTML
<h3>{{ stats_title }}</h3>
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<div id="chart"></div>
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<script>
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var chartConf = {
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chart: {
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type: 'column'
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},
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title: {
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text: '{{ stats_title|escapejs }}'
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},
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xAxis: {
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type: "category",
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title: {
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text: 'Affiliation'
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}
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},
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yAxis: {
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title: {
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text: 'Number of authors'
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}
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},
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tooltip: {
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formatter: function () {
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var s = '<b>' + this.points[0].key + '</b>';
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$.each(this.points, function () {
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s += '<br/>' + chartConf.yAxis.title.text + ': ' + this.y;
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});
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return s;
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},
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shared: true
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},
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series: {{ chart_data }}
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};
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</script>
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<h3>Data</h3>
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<table class="table table-condensed stats-data">
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<thead>
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<tr>
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<th>Affiliation</th>
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<th>Percentage of authors</th>
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<th>Authors</th>
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</tr>
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</thead>
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<tbody>
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{% for affiliation, percentage, names in table_data %}
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<tr>
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<td>{{ affiliation|default:"(unknown)" }}</td>
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<td>{{ percentage|floatformat:2 }}%</td>
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<td>{% include "stats/includes/number_with_details_cell.html" %}</td>
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</tr>
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{% endfor %}
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</tbody>
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</table>
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