For each title, we extracted the number of characters in the title, the number of uncommon words, and whether the title was declarative. Conditional logistic regression was used to estimate odds ratio (OR) with 95% confidence intervals adjusted for a prespecified baseline confounder (open access).One hundred eight “Medical and health sciences” articles were retrieved in the 2013–2015 “Altmetric Top 100” and matched to 216 control articles. Titles of the “Altmetric Top 100” articles were 102.6 characters (±42) long, included 3.4 (±2.0) uncommon words, and 29.6% (32/108) were “declarative.” Titles of the matched articles were 109.3 characters (±37.1) long, included 4.7 (±2.4) uncommon words, and 21.8% (47/216) were “declarative.” After multivariate adjustment, declarative titles with a lower number of uncommon words were significantly more represented in the Altmetric list, with declarative titles having 2.8 times the odds of being in the top list (OR: 2.8; 95% confidence interval: 1.2, 6.4). For each additional uncommon word in the title, there was a 1.4 increase in the odds of being a non-Altmetric Top 100 article (1.4; 1.2–1.6).
Journal of Clinical Epidemiology
Volume 85, May 2017, Pages 32-36
Original Article
Health care articles with simple and declarative titles were more likely to be in the Altmetric Top 100
Author links open overlay panelNicolaDi GirolamoabReint MeursingeReynderscd
https://doi.org/10.1016/j.jclinepi.2016.11.018
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Abstract
Objectives
The aim of this study was to assess whether specific title characteristics could influence the likelihood of being included in the “Altmetric Top 100.”
Methods
We conducted a 1:2 matched case–control study with the cases being the health care articles included in the “Altmetric Top 100” lists (2013–2015) matched through a random computerized procedure with two health care articles published in the same journal and year. For each title, we extracted the number of characters in the title, the number of uncommon words, and whether the title was declarative. Conditional logistic regression was used to estimate odds ratio (OR) with 95% confidence intervals adjusted for a prespecified baseline confounder (open access).
Results
One hundred eight “Medical and health sciences” articles were retrieved in the 2013–2015 “Altmetric Top 100” and matched to 216 control articles. Titles of the “Altmetric TopWhen writing your health-related article, you need to read a few copies of the magazine. If you frequently read the magazine or you subscribe to it, study the back issues. If you are a new writer to the magazine, visit its website and peruse the website’s editorial content. Many health magazines will have full articles online from previous print issues.
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A common myth in writing for health magazines is that you need some type of medical background. Sure, you will see many bylines with a Ph.D., DrPH, or LPN next them. You do not need a medical background, but you do need relevant experience and expertise in writing about health-related issues. You must know your audience. Health prevention magazines come in two classes: mainstream and trade. Retired Baby Boomers who are dealing with degenerative diseases read mainstream magazines
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