Vasilevsky et al., 2013 - On the reproducibility of science: unique identification of research resources in the biomedical literature. PeerJ   1:e148 Full text @ Peer J.

Figure 1 Resource identifiability across disciplines.

(A) Summary of average fraction identified for each resource type. (B–F) Identifiability of each resource type by discipline. The total number of resources for each type is: (B) antibodies, n = 703; (C) cell lines, n = 104; (D) constructs, n = 258; (E) knockdown reagents, n = 210; (F) organisms, n = 428. The y-axis is the average for each resource type across each domain. Variation from this average is shown by the bars, error bars indicate upper and lower 95% confidence intervals.

Figure 2 Resource identification rates across journals of varying impact factors.

(A) An overview of fraction identified by impact factor for all resource types. (B–F) Fraction identified by impact factor for each individual resource type. Increasing height on the x-axis corresponds with a higher impact factor for each journal.

Figure 3 Identification of resource varies across journals with varying resource-reporting requirements.

The classifications of reporting requirements are summarized in the methods. A total of 53 out of 118 resources were identifiable in the stringent reporting guidelines category (17 papers were analyzed), 201 resources were identifiable out of 329 resources for the satisfactory category (48 papers were analyzed) and 662 out of 1,217 resources were identifiable in the loose category (182 papers were analyzed). Variation from this average is shown by the bars, error bars indicate upper and lower 95% confidence intervals.

Acknowledgments:
ZFIN wishes to thank the journal PeerJ for permission to reproduce figures from this article. Please note that this material may be protected by copyright. Full text @ Peer J.