FIGURE SUMMARY
Title

On the reproducibility of science: unique identification of research resources in the biomedical literature

Authors
Vasilevsky, N.A., Brush, M.H., Paddock, H., Ponting, L., Tripathy, S.J., Larocca, G.M., and Haendel, M.A.
Source
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
This image is the copyrighted work of the attributed author or publisher, and ZFIN has permission only to display this image to its users. Additional permissions should be obtained from the applicable author or publisher of the image. Full text @ Peer J.
Your Input Welcome
We welcome your input and comments. Please use this form to recommend updates to the information in ZFIN. We appreciate as much detail as possible and references as appropriate. We will review your comments promptly.
Please check the highlighted fields and try again.
Thank you for submitting comments. Your input has been emailed to ZFIN curators who may contact you if additional information is required.
Oops. Something went wrong. Please try again later.