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Items: 4

1.
Figure 1

Figure 1. From: Tracking Replicability as a Method of Post-Publication Open Evaluation.

Replication tracker: search window. Much like any other paper index, Replication Tracker would allow the user to search for papers by author, keyword, and other typical search terms.

Joshua K. Hartshorne, et al. Front Comput Neurosci. 2012;6:8.
2.
Figure 4

Figure 4. From: Tracking Replicability as a Method of Post-Publication Open Evaluation.

Replication tracker: expansion of a RepLink, showing ratings by individual readers, which are summarized in Figure . Users are also able to add comments, explaining their determinations, or flag posts as irrelevant, prompting review by moderators.

Joshua K. Hartshorne, et al. Front Comput Neurosci. 2012;6:8.
3.
Figure 3

Figure 3. From: Tracking Replicability as a Method of Post-Publication Open Evaluation.

Replication tracker: search results expansion, showing RepLinks for a target paper. Each RepLink represents an attempted replication. Again, the degree of success of the replication (“replication type”) and strength of the evidence is noted. These are determined by aggregating determinations made by individual users (Figure ).

Joshua K. Hartshorne, et al. Front Comput Neurosci. 2012;6:8.
4.
Figure 2

Figure 2. From: Tracking Replicability as a Method of Post-Publication Open Evaluation.

Replication tracker: example search results. Results of a search query list relevant papers, along with number of citations and information about the paper’s replicability. This information consists of the number of attempted replications reported to the system, a summary statistic of whether the finding successfully replicates or fails to replicate (“Replicability Score”), and a summary statistic of the strength of the evidence. These numbers are derived from RepLinks, data which is crowd-sourced from users and moderators (Figure ).

Joshua K. Hartshorne, et al. Front Comput Neurosci. 2012;6:8.

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