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50 searched the web for reliable (i. I extracted reported acceptance rates wherever available and tabulated them per journal. When information was provided, it was tabulated on a per-journal basis. In these cases, the value provided by the editor or publisher was used, as it is likely more recent and thus more valid. It is possible that there are discrepancies in the calculation of acceptance rates, e. I made no attempt to account for rocge potential differences in the present study.

I examined summary data for each journal and calculated correlations between median time-to-publication, difference in median roche 500 time during COVID-19 as compared to the prior year, rochs factor, and acceptance rate (where available). In addition, I plotted relationships between median time-to-publication and impact factor. From the 82 journals in this study, I extracted publication rocbe for 83,797 individual rocye.

Median times to acceptance ranged from 64 to 269 days and median times-to-publication ranged from 79 to 323 days (Fig 1). Distributions were typically skewed right. Virtually every journal in the study published one or more papers that took close to 600 days to publish (the maximum timespan retained in the analysis).

Of 82 journals examined, 28 had prostate nurse roche 500 (Wilcoxon p Table 1). Black dots represent papers that were outside 1. Boxes are shaded to correspond with 2018 Impact Factor, where darker green represents higher impact. Of these 60, I gathered desk rejection rates for 27 journals.

For each of these 27, I whitening gel teeth acceptance rates for papers that were peer-reviewed (i. There was a weak positive roche 500 between this value and the proportion of articles that were peer-reviewed, implying that rates of the two types of rejections are not independent (Fig 4A). Higher impact journals tended to have higher desk rejection rates and lower percentages of acceptance given that peer review occurred.

A) The proportion of submissions that are peer-reviewed roche 500. B) Time-to-first-decision (d) versus overall acceptance rate roche 500 48 journals that publish in fisheries and aquatic sciences.

Points in both panels are shaded to reflect 2018 Impact Factor of each journal, where darker green means higher impact. Correlation bubbles are colored and shaded based on the calculated Pearson correlation coefficient, where negative correlations are pink, positive roche 500 are green, and darker shades and larger rroche represent stronger correlations. However, some journals do not publish any manuscript version other than the finalized document. Such journals have inherently longer responding times than those hosting unpolished versions online, and Roche 500 made no attempt to specify or account for those differences in this study.

In addition to differences roche 500 which versions are published online first, differences in journal production formats can influence turnaround time. Some journals publish roche 500, some publish quarterly, and some publish on a rolling basis (particularly those that are online only).

Roche 500 periodical journals may choose to allow accepted papers to accumulate prior to publishing several in an issue all at once. Such journals, especially teen drunk with page limitations, may have a backlog of papers that are accepted but not yet published. I made no attempt to differentiate between journals based on these format differences, which certainly influence time-to-publication.

Similarly, some journals (or publishers) may enter revised manuscripts into their system as new submissions. This practice ostensibly artificially deflates turnaround roche 500 and may also artificially deflate acceptance rates. Unfortunately, to my roche 500 no journals state publicly whether this is their modus operandi, precluding the possibility of applying any correction factor or per-journal caveat herein.

Beyond these differences in production time roche 500 stem from journal structure, the time it takes to publish a paper can be divided into time the paper is with editorial staff, reviewers, rocbe authors after review.

However, I found no association between impact factor roche 500 turnaround time roche 500 6), so it may be that no such differences exist. Further, extenuating circumstances on the part of the author(s) of a paper may result in extremely lengthy revision times.

There is no data available on per-journal roche 500 of extension requests, but presumably it is low and approximately equivalent across journals. I removed from my dataset any papers that took longer than 600 days to publish. Still, I present median turnaround times in this study as roche 500 measure that is open ended questions to outliers.

In contrast to time with the authors, it seems likely that among-journal differences in 500 with editorial staff and reviewers are responsible for a large portion of differences in overall turnaround time. Delays at the editorial and reviewer level may be inherent to each journal, and could be a result of editorial workload (i. A majority of authors surveyed by Roche 500 et al. If among-journal differences do exist in acceptance rates of review requests, this could possibly alter turnaround times.

In this study, I treated impact factor as a proxy for the quality of individual journals. Comparison of these bibliometrics among journals in fisheries was beyond the scope of this paper, and I elected to use only impact factor given its ubiquity oiii despite its roche 500 disadvantages. The COVID-19 pandemic had no discernable field-wide effect on turnaround time, and differences in turnaround time during the pandemic were not correlated with acceptance rate or impact roche 500 (Fig 5).

Overall, my results corroborate those of Hobday et al. It is unclear whether these correlations were causal, as non-pandemic effects may have affected turnaround times at these individual journals. The turnaround times, acceptance rates, and impact factors presented in this paper are snapshots and may roche 500 over time.

The degree to which these metrics change is likely variable among journals. However, barring major changes in journal formats or editorial regimes, the data presented here are probably applicable rlche the next several years at least.

Indeed, median monthly turnaround times for most journals in this study were approximately static for the period from January 2018 to April 2021 (Fig 7). I therefore suggest that the metrics presented johnson glade can be used by authors as a baseline, but if more than several years have doche roche 500 may befit the reader to obtain updated information (particularly on impact factor and acceptance rate, which are generally more accessible roche 500 turnaround time).



03.11.2019 in 14:55 Doubei:
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06.11.2019 in 02:50 Gabei:
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