Evidence map›Paper›PMID 23463227›Full record

ArticleCBE life sciences education2013

Figure facts: encouraging undergraduates to take a data-centered approach to reading primary literature.

Jennifer E Round, A Malcolm Campbell

Abstract read
In one paragraph

Article in CBE life sciences education, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

60 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. A ChatGPT Assisted Reading Protocol for Undergraduate Research Students.bioRxiv : the preprint server for biology · 2024
    Article
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  10. Peer-reviewed presentation exchange in an undergraduate classroom.Journal of microbiology & biology education · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Jennifer E RoundDepartment of Biology, Davidson College, Davidson, NC 28035, USA. jeround@davidson.edu
A Malcolm Campbell

Funding

Howard Hughes Medical Institute
6 · The paper itself

Abstract

The ability to interpret experimental data is essential to understanding and participating in the process of scientific discovery. Reading primary research articles can be a frustrating experience for undergraduate biology students because they have very little experience interpreting data. To enhance their data interpretation skills, students used a template called "Figure Facts" to assist them with primary literature-based reading assignments in an advanced cellular neuroscience course. The Figure Facts template encourages students to adopt a data-centric approach, rather than a text-based approach, to understand research articles. Specifically, Figure Facts requires students to focus on the experimental data presented in each figure and identify specific conclusions that may be drawn from those results. Students who used Figure Facts for one semester increased the amount of time they spent examining figures in a primary research article, and regular exposure to primary literature was associated with improved student performance on a data interpretation skills test. Students reported decreased frustration associated with interpreting data figures, and their opinions of the Figure Facts template were overwhelmingly positive. In this paper, we present Figure Facts for others to adopt and adapt, with reflection on its implementation and effectiveness in improving undergraduate science education.

Indexed as

PublicationsReadingStatistics as TopicStudentsAttitudeData CollectionData Interpretation, StatisticalHumansNeurosciencesProgram EvaluationTime Factors

Identifiers

PMID23463227
PMCPMC3587854

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.