Evidence map›Paper›PMID 27974354›Full record

ArticleBMJ (Clinical research ed.)2016

We read spam a lot: prospective cohort study of unsolicited and unwanted academic invitations.

Andrew Grey, Mark J Bolland, Nicola Dalbeth, Greg Gamble, Lynn Sadler

Abstract read
In one paragraph

Article in BMJ (Clinical research ed.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. The burden of unwanted e-mails in academic surgery: a cross-sectional study.International journal of surgery (London, England) · 2025
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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

5 authors.

Andrew GreyDepartment of Medicine, University of Auckland, Private Bag 92019, Auckland, New Zealand.
Mark J BollandDepartment of Medicine, University of Auckland, Private Bag 92019, Auckland, New Zealand.
Nicola DalbethDepartment of Medicine, University of Auckland, Private Bag 92019, Auckland, New Zealand.
Greg GambleDepartment of Medicine, University of Auckland, Private Bag 92019, Auckland, New Zealand.
Lynn SadlerWomen's Health, Auckland District Health Board, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo assess the amount, relevance, content, and suppressibility of academic electronic spam invitations to attend conferences or submit manuscripts.

designProspective cohort study.

settingEmail accounts of participating academics.

participantsFive intrepid academics and a great many publishers, editors, and conference organisers.

interventionUnsubscribing from sender's distribution lists.

main outcome measuresNumber of spam invitations received before, immediately after, and one year after unsubscribing from senders' distribution lists. The proportion of duplicate invitations was also assessed and the relevance of each invitation graded to the recipient's research interests. A qualitative assessment of the content of spam invitations was conducted.

resultsAt baseline, recipients received an average of 312 spam invitations each month. Unsubscribing reduced the frequency of the invitations by 39% after one month but by only 19% after one year. Overall, 16% of spam invitations were duplicates and 83% had little or no relevance to the recipients' research interests. Spam invitations were characterised by inventive language, flattery, and exuberance, and they were sometimes baffling and amusing.

conclusionsAcademic spam is common, repetitive, often irrelevant, and difficult to avoid or prevent.

Indexed as

Academic Medical CentersElectronic MailHumansProspective StudiesUniversities

Identifiers

PMID27974354
PMCPMC5156609

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.