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Where available, I obtained time-to-first-decision for each journal. Specifically, I examined median time-to-acceptance, median time-to-publication, median time between acceptance and publication, proportion of papers published in under six months, and proportion of papers published in over one year.

Medians were used because distributions of time-to-acceptance and time-to-publication were usually blood pressure high right (see Results). Some journals included in this study have an extremely broad scope. Specifically, Nature, PeerJ, PLOS ONE, Proceedings of the National Academy of Blood pressure high, and Science blood pressure high papers on topics reaching far beyond fisheries or ecology.

I hypothesized that turnaround times of fisheries papers published in these journals may be dissimilar to turnaround times for these journals overall since internal editorial structure at the journals may differ among disciplines. During the COVID-19 pandemic, some journals offered leniency to authors and reviewers when setting deadlines to account for the blood pressure high probability of extenuating personal or professional circumstances (B.

Because of this blood pressure high, I hypothesized that turnaround times for each journal may be different prior to and after blood pressure high start of the COVID-19 pandemic. As above, papers were excluded from this analysis if their time-to-publication was extremely short ( 600 days). I conducted two-sample Wilcoxon tests to examine for differences in publication times between these two periods. Impact factor is prednol as the number of citations received in a given year by all articles published in that journal during the previous two years, divided by the number of articles published in that journal during the previous two years.

Blood pressure high searched the web for reliable (i. I blood pressure high 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 these potential differences in the present blood pressure high. I examined summary data for each journal and calculated correlations between median time-to-publication, difference in median publication time during COVID-19 as compared list the prior year, impact 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, Blood pressure high extracted publication information for 83,797 individual papers.

Median blood pressure high to acceptance ranged from 64 blood pressure high 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 significantly different (Wilcoxon p Table 1). Black dots represent papers that were outside 1.

Blood pressure high are shaded to correspond with 2018 Impact Factor, where darker green represents higher impact. Of these blood pressure high, I gathered desk rejection rates for 27 journals. For each of these 27, I calculated acceptance rates for papers that were peer-reviewed (i.

There was a weak positive correlation between this value and the proportion of articles that were peer-reviewed, implying blood pressure high 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 (i. B) Time-to-first-decision (d) versus overall acceptance rate for 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.



13.04.2019 in 14:36 Мариан:
Вот те на! Первый раз слышу!

14.04.2019 in 14:20 Панкратий:
Я думаю, что Вы допускаете ошибку. Предлагаю это обсудить. Пишите мне в PM, пообщаемся.

17.04.2019 in 07:12 Кларисса:
Жаль, что сейчас не могу высказаться - опаздываю на встречу. Освобожусь - обязательно выскажу своё мнение по этому вопросу.

17.04.2019 in 07:19 membvoso:
И на чем остановимся?