Evidence map›Paper›PMID 17641756›Full record

ArticleJournal of the Medical Library Association : JMLA2007

Citation analysis of Minnesota Department of Health official publications and journal articles: a needs assessment for the RN Barr Library.

Melissa L Rethlefsen

Abstract read
In one paragraph

Article in Journal of the Medical Library Association : JMLA, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
  2. Environmental health citation patterns: mapping the literature 2008-2010.Journal of the Medical Library Association : JMLA · 2013
    Article
  3. Infectious diseases citation patterns: mapping the literature 2008-2010.Journal of the Medical Library Association : JMLA · 2013
    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.

Melissa L RethlefsenLearning Resource Center, Mayo Clinic College of Medicine, Rochester, MN 55905, USA. mlrethlefsen@gmail.com

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe paper describes the information needs of a state public health agency, compares needs to its library's collection, and evaluates collection development policy accordingly.

methodsA citation analysis of journal articles authored by Minnesota Department of Health staff as well as official publications from 2002 to 2004 was conducted. Fifty-six publications fitting the criteria for inclusion in the study were identified using PubMed and library records. Information on each cited reference was recorded, including reference type, relative age of citation, and journal name, if applicable. The library's collection and collection development policies were analyzed in regard to the results.

resultsAs expected, journals were the most heavily cited format: 63% (n = 897) of all citations were to journal articles. Most cited materials were between 2 and 5 years old. The 897 journal citations represented 265 different journals. The top 10 cited journals (4% of all titles) accounted for 36% (n = 320) of all citations; 62% (n = 320) of journals were cited only once. Of the total journals cited, the library subscribed to 70% (n = 627). DISCUSSION: Overall, no large gaps appeared in the RN Barr Library's journal collection. The analysis confirms that the library's collections budget for serials and books reflects the cited use of these materials.

Indexed as

Health Systems AgenciesState GovernmentAuthorshipHumansLibraries, MedicalLibrary SurveysMinnesotaNeeds AssessmentPeriodicals as TopicPublications

Identifiers

PMID17641756
PMCPMC1924933

What OpenQuestion holds

Textmetadata
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.