| Literature DB >> 33526505 |
Mallory K Ellingson1, Xiaoting Shi2, Joshua J Skydel3, Kate Nyhan4, Richard Lehman5, Joseph S Ross6,7, Joshua D Wallach8.
Abstract
OBJECTIVE: To estimate the financial costs paid by individual medical researchers from meeting the article processing charges (APCs) levied by open access journals in 2019.Entities:
Keywords: health economics; health policy; medical journalism
Year: 2021 PMID: 33526505 PMCID: PMC7852964 DOI: 10.1136/bmjopen-2020-047107
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Figure 1A visualisation of the sampling and data abstraction approach. APCs, article processing charges.
Characteristics of general and high-impact medical researchers
| | General researchers (n=241) | High-impact researchers (n=246) |
| No (%) | ||
| Gender | ||
| Male | 109 (45.2) | 159 (64.6) |
| Female | 70 (29.1) | 82 (33.3) |
| Unknown/unavailable* | 62 (25.7) | 5 (2.0) |
| Affiliation | ||
| Academia/hospital | 236 (97.9) | 213 (86.6) |
| Government | 3 (1.2) | 10 (4.1) |
| Non-governmental or non-profit | 1 (0.4) | 12 (4.9) |
| Industry | 1 (0.4) | 7 (2.9) |
| Other | 0 (0.0) | 2 (0.8) |
| Unknown/unavailable | 0 (0.0) | 2 (0.8) |
| Training† | ||
| MD | 120 (49.8) | 166 (67.5) |
| PhD only | 58 (24.1) | 61 (24.8) |
| Other degree only | 3 (1.2) | 5 (2.0) |
| Unknown/unavailable | 60 (24.9) | 14 (5.7) |
| Region | ||
| African region | 3 (1.2) | 4 (1.6) |
| Region of the Americas | 62 (25.7) | 144 (58.5) |
| South-East Asia Region | 13 (5.4) | 1 (0.4) |
| European Region | 76 (31.5) | 67 (27.2) |
| Eastern Mediterranean Region | 18 (7.5) | 4 (1.6) |
| Western Pacific Region | 69 (28.6) | 25 (10.2) |
| Unknown/unavailable | 0 (0.0) | 1 (0.4) |
| H-Index, median (IQR) | 11.0 (3.0–23.0) | 38.5 (22.0–64.0) |
| Years since first publication, median (IQR) | 15.0 (7.0–25.0) | 22.5 (14.3–32.0) |
| No of articles per author, | ||
| First and senior author articles | 2 (1–5) | 4 (2–8) |
| Senior author articles only | 2 (1–4) | 4 (2–8) |
| First author articles only | 0 (0–1) | 0 (0–1) |
| Corresponding author articles (first or senior) | 1 (0–2) | 2 (0–4) |
*Institutional profile was not available or author gender could not be determined through an institutional profile.
†MD, with or without other degrees; a PhD, with or without other degrees (excluding MD); or any other degrees.
Journal funding models for the articles published by general and high-impact researchers
| | No (%) | |
| General researchers | High-impact researchers | |
| Total number of journals | 914 | 1471 |
| Article processing charge-based journals | 384 (42.0) | 426 (29.0) |
| Subscription-based journals | 57 (6.2) | 169 (11.5) |
| Hybrid* | 457 (50.0) | 870 (59.1) |
| Unknown | 16 (1.8) | 6 (0.4) |
*A traditional subscription-based journal with a fee-based open access publication option.
Article processing charges (APCs) for all first and/or senior research and review articles published in 2019
| | Median (IQR) | |
| General researchers (n=241) | High-impact researchers (n=246) | |
| Standard APCs paid per year, US$ | 191 (0, 2500) | 2900 (0, 5465) |
| First author articles only | 0 (0, 0) | 0 (0, 0) |
| Senior author articles only | 0 (0, 0) | 2800 (0, 5181) |
| APCs paid per year (including hybrid journals)*, US$ | 739 (0, 3950) | 5000 (0, 10879) |
| APCs paid per year (minimum)†, US$ | 0 (0, 2500) | 2600 (0, 5465) |
*A traditional subscription-based journal with a fee-based open access publication option.
†The minimum APCs paid is defined as the lowest possible APC an author could have paid given the discounts, membership options or licensing options listed on a journal website.
APCs, article processing charges.
Standard article processing charges (APCs) for first and senior research and review articles, across researcher characteristics
| General researchers (n=241)* | High-impact researchers (n=246)* | ||||||
| Total APC per year (US$) | Total APC per year (US$) | ||||||
| No | Median (IQR) | P value† | No | Median (IQR) | P value† | ||
| Gender | 0.48 | Gender | 0.20 | ||||
| Male | 109 | 300 (0–2950) | Male | 159 | 2500 (0–5380) | ||
| Female | 70 | 0 (0–3502) | Female | 82 | 3145 (0–6387) | ||
| Primary affiliation | 0.36 | Primary affiliation | 0.45 | ||||
| Academia/hospital | 236 | 28 (0–2500) | Academia/hospital | 213 | 3000 (0–5526) | ||
| Other | 5 | 4420 (3070–6160) | Other | 31 | 1870 (0–4950) | ||
| Training‡ | 0.19 | Training‡ | 0.13 | ||||
| MD | 120 | 234 (0–2983) | MD | 166 | 2454 (0–5355) | ||
| PhD only | 58 | 975 (0–4679) | PhD Only | 61 | 3490 (1695–7150) | ||
| Other degrees only | 3 | 0 (0–0) | Other degree | 5 | 0 (0–4800) | ||
| Region | 0.32 | Region | <0.001 | ||||
| Region of the Americas | 62 | 0 (0–2425) | Region of the Americas | 144 | 1695 (0–3935) | ||
| Other | 179 | 225 (0–2865) | Other | 101 | 4800 (1888–8290) | ||
| H-Index (median) | 0.14 | H-Index (median) | 0.30 | ||||
| ≤11.0 | 120 | 0 (0–1390) | ≤38.5 | 123 | 2500 (0–4800) | ||
| >11.0 | 121 | 1302 (0–4761) | >38.5 | 123 | 3465 (0–7494) | ||
| Years since first publication (quartiles) | 0.22 | Years since first publication (quartiles) | 0.97 | ||||
| <7.0 | 62 | 0 (0–925) | <14.3 | 62 | 2625 (0–4800) | ||
| 7.0–15.0 | 62 | 862 (0–3165) | 14.3–22.5 | 61 | 3000 (0–8000) | ||
| 15.0–25.0 | 63 | 300 (0–4400) | 22.5–32.0 | 68 | 3000 (0–6500) | ||
| >25.0 | 54 | 0 (0–3513) | >32.0 | 55 | 2800 (0–4875) | ||
*Unknown values were considered as missing for these analyses; therefore, row amounts may not sum to column total.
†Calculated using Mann-Whitney U or Mood’s test as appropriate.
‡MD, with or without other degrees; a PhD, with or without other degrees (excluding MD); or any other degrees.