Evidence map›Paper›PMID 31019382›Full record

ArticleJournal of the Medical Library Association : JMLA2019

Report from the Medical Library Association's InSight Initiative Summit 2: Meeting the Evolving Information Needs of Library Stakeholders.

Katherine G Akers

Open access · diamondAbstract read
In one paragraph

Article in Journal of the Medical Library Association : JMLA, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.5field-weighted citation impact, top 14% of its field
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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Translational Personas and Hospital Library Services.Journal of hospital librarianship · 2020
    Article
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

1 author at 1 institution in 1 country.

Katherine G AkersEditor-in-Chief, Journal of the Medical Library Association, and Biomedical Research and Data Specialist, Shiffman Medical Library, Wayne State University, Detroit, MI, katherine.akers@wayne.edu.ORCID https://orcid.org/0000-0002-4578-6575
Wayne State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

At the Medical Library Association's InSight Initiative Summit 2, held September 27-28, 2018, academic and hospital librarians joined with publishing industry partners to develop a deeper shared understanding of technology- and social interaction-driven changes in how health sciences researchers and clinicians discover and consume information in their fields. Through a mixture of keynote talks, a panel discussion with health care professionals, and small-group problem-solving exercises, the summit program invited participants to collaboratively develop strategies for helping users recognize the value of curated or peer-reviewed content obtained through institutional access channels. Themes of the summit included the existence of different user modes of information discovery and access, user reliance on professional societies and Twitter as information sources, the extent to which smartphones are used to find medical information, the importance of inducing disorienting dilemmas in library users that cause them to recognize librarians as true partners in information seeking and research, the dangers of depending on non-curated information, and the need for publishers and librarians to work together to ease barriers to access and enrich the user experience.

Indexed as

Health Services Needs and DemandLibraries, MedicalLibrary AssociationsLibrary ServicesHumansInformation Seeking BehaviorNeeds Assessment

Identifiers

PMID31019382
PMCPMC6466501
OpenAlexW2946261609

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.