Table 1

Description of survey respondents*

VariableTotal n (%)
Total responses733 (100)
Demographics and professional information
 Gender
  Female399 (54.4)
  Male322 (43.9)
  Other/prefer not to answer12 (1.6)
 Academic job title (n=731)
  Assistant professor479 (65.5)
  Associate professor120 (16.4)
  Professor49 (6.7)
  Non-tenure track57 (7.8)
  Other26 (3.6)
 First year to receive NIH funding (n=729)
  2011–2016524 (71.9)
  2010–2000169 (23.3)
  Prior to 200036 (4.9)
 Number of academic publications (n=732)
  1–1055 (7.5)
  11–20181 (24.7)
  >20496 (67.8)
 Previously published in open access format (n=730)
  Yes489 (67.0)
  No195 (26.7)
  Not sure46 (6.3)
 Year terminal degree was obtained (n=729)
  2010–2016137 (18.8)
  2005–2009307 (42.1)
  2000–2004202 (27.7)
  Prior to 200083 (11.4)
 Spam filter on email (n=729)
  Yes651 (89.3)
  No36 (4.9)
  Not sure42 (5.8)
Experience with academic spam emails
 Estimated number of academic spam emails/day (n=724)
  1–10398 (54.5)
  11–20223 (30.6)
  >20103 (14.1)
  Not sure6 (0.8)
 Time spent per day reading/sorting academic spam emails (n=665)
  None, delete them all without reading132 (19.9)
  1–10 min419 (63.0)
  11–20 min89 (13.4)
  >20 min21 (3.2)
  Not sure4 (0.6)
 History of responding to academic spam email (n=729)
  Yes226 (31.0)
  No503 (69.0)
 Concern of missed opportunities (n=731)
  Yes58 (7.9)
  No575 (78.7)
  Not sure98 (13.4)
 Methods used to deem emails academic spam†
  Consider them all spam274 (37.4)
  Ask a colleague123 (16.8)
  Typos in text/name398 (54.5)
  Don’t recognise journal601 (82.0)
  Address listed is not in the USA308 (42.0)
  Requesting fee to publish313 (42.7)
  Consult the Internet239 (32.6)
  • *Percentages may not sum to 100 due to rounding; total n differs if a question was left blank.

  • †Respondents were instructed to select all that apply.

  • NIH, National Institutes of Health.