SciScore helps researchers improve their publication quality….

…and helps other researchers replicate the work reproducibly, by assessing…

Ethics Statements
Group Selection
Subject Demographics
Reporting Standards
Replication
Cell Line Authenticity
Protocol Identifiers
Code Information
Data Information
Euthanasia

Four simple steps to improve scientific publications...

1. Copy

Copy your materials and methods section

2. Paste

Paste your section into the SciScore field

3. Submit

Click ‘submit’ to start the NLP analysis

4. Review

Review your SciScore and read your report

A sample of how it works

Retest your publication

... With two additional submitions to help improve your score.

  • Copy your materials and methods section
  • Paste your section into the SciScore field
  • Click ‘submit’ to start the NLP analysis
  • Review your SciScore and read your report
  • Resubmit to re-assess your score
  • Improve your score by making corrections
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Simple Interpretation

The SciScore indicates the level of scientific rigor and transparency for a research manuscript. It is based on rigor of adherence to standards and key resource identification within materials and methods sections. This score allows readers to judge the reproducibility of a research publication.

Improvement is needed

60% of open access articles* are below the average SciScore of 4.1

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*Data from 2020

What types of publications should use SciScore?  

SciScore is designed to support original preclinical research. Use SciScore to help journal editors, reviewers, and other researchers trust in the rigor, transparency and reproducibility of your research

Your SciScore report

The SciScore report you will receive contains three tables, the first two of which are used to calculate the SciScore:

  • The Rigor Adherence Table
    Adherence to scientific rigor.
  • Key Resources Table
    Identification of key biological resources and tools
  • Statistical Tests and Oligonucleotides
    Contains statistical tests and oligonucleotides, but not scored

Automated MDAR report generation  

SciScore generates your MDAR report for you

The Materials Design Analysis Reporting (MDAR) framework for transparent reporting in life sciences outlined a checklist for use by authors, editors and others seeking to adopt the MDAR framework for transparent reporting in manuscripts. Submission of an MDAR report is required for many scientific journals and can be time consuming to create. But SciScore turns a process that can take hours, into minutes, by automatically generating your MDAR report for you. Having gaps in the MDAR requirements can cause unnecessary delays in publishing your research. Why take the risk when SciScore can generate the MDAR report for you, saving time and streamlining the process.

Coming Soon

Automated ARRIVE Guidelines report

Automated ARRIVE checker – launching soon

The ARRIVE Guidelines (Animal Research: Reporting of In Vivo Experiments) contain a checklist of information required for publications that are describing animal research, to ensure transparent and thorough reporting. This is designed to allow scientists to assess the rigor of the methods used and reproduce the findings. The integrated ARRIVE Checker will automatically provide a report when using SciScore. This consolidates all of the various rigor reports required by Journals into a single solution, saving authors a tremendous amount of time and ensuring all of the required information is submitted, helping to improve the quality of animal research.

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Include your RRID

A critical identifier for improved transparency

The Research Resource Identifiers (RRID) are numbers assigned to key resources (e.g. antibodies, cell lines, plasmids, model organisms) to help scientists identify critical reagents when trying to replicate research findings. For example, there can be many different antibodies, from different suppliers, directed at the same target, protein or epitope. However, they can differ substantially in performance, impacting reproducibility and accuracy, making replication of findings a challenge. Using the wrong reagents can result in wasted time, unnecessary sunk costs, and ultimately failure to replicate the original research. SciScore can help you identify the right RRID number for your reagents to ensure they are included in your manuscript, saving time and ensuring researchers can accurately replicate your work.

Improve the reproducibility of science

Distinguish your work within the scientific community

Whether it be the STAR Methods format, ARRIVE Guidelines or MDAR framework, reproducibility of science is a major focus of scientific funding organizations globally. Let SciScore help you to identify your information gaps and manuscript improvements before the editors do. SciScore is your transparency checker to ensure you submit high quality materials and methods that can be used as a foundation for translatable, reproducible science. Just as you use a spell checker to avoid spelling mistakes in your submission, use SciScore to avoid gaps in your reproducibility criteria, avoiding delays and helping to accelerate the review process.

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Drug Repurpose of Retarget?

Target validation in drug repurposing, the path of least resistance is relevance.

For drug repurposing initiatives, the question is how good is the data suggesting the association of a drug to a new potential target, or target to a disease? How relevant are the target relationships and should the priority be repurposing or retargeting? If the data was not randomized, blinded or the sample size was inadequate, then repurposing efforts may lead to devoting time, budget and resources erroneously.
Target validation requires rigor and the data should be relevant. Use SciScore to grade your reference sources on the relevance of the target association to ensure decisions on resource allocation are based on relevance of a drug – target - disease association. The path of least resistance is target relevance.

Ready to start using SciScore today?