Example of Annals of Applied Biology format
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Example of Annals of Applied Biology format Example of Annals of Applied Biology format Example of Annals of Applied Biology format Example of Annals of Applied Biology format Example of Annals of Applied Biology format Example of Annals of Applied Biology format
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Example of Annals of Applied Biology format Example of Annals of Applied Biology format Example of Annals of Applied Biology format Example of Annals of Applied Biology format Example of Annals of Applied Biology format Example of Annals of Applied Biology format
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Annals of Applied Biology — Template for authors

Publisher: Wiley
Categories Rank Trend in last 3 yrs
Agronomy and Crop Science #76 of 347 down down by 27 ranks
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 279 Published Papers | 1034 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 03/06/2020
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Journal Performance & Insights

Impact Factor

CiteRatio

Determines the importance of a journal by taking a measure of frequency with which the average article in a journal has been cited in a particular year.

A measure of average citations received per peer-reviewed paper published in the journal.

2.037

26% from 2018

Impact factor for Annals of Applied Biology from 2016 - 2019
Year Value
2019 2.037
2018 1.611
2017 2.046
2016 2.046
graph view Graph view
table view Table view

3.7

6% from 2019

CiteRatio for Annals of Applied Biology from 2016 - 2020
Year Value
2020 3.7
2019 3.5
2018 3.8
2017 3.9
2016 3.8
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has increased by 26% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

insights Insights

  • CiteRatio of this journal has increased by 6% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

Measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

Measures actual citations received relative to citations expected for the journal's category.

0.677

5% from 2019

SJR for Annals of Applied Biology from 2016 - 2020
Year Value
2020 0.677
2019 0.713
2018 0.737
2017 0.886
2016 0.814
graph view Graph view
table view Table view

1.032

8% from 2019

SNIP for Annals of Applied Biology from 2016 - 2020
Year Value
2020 1.032
2019 0.954
2018 1.136
2017 1.169
2016 1.137
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has decreased by 5% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has increased by 8% in last years.
  • This journal’s SNIP is in the top 10 percentile category.
Annals of Applied Biology

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Wiley

Annals of Applied Biology

The journal publishes original research papers on all aspects of applied research on crop production, crop protection and the cropping ecosystem. Annals contribute substantially to the advancement of knowledge and may, among others, encompass the scientific disciplines of: Agr...... Read More

Agronomy and Crop Science

Agricultural and Biological Sciences

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Last updated on
03 Jun 2020
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ISSN
0003-4746
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Impact Factor
High - 1.178
i
Open Access
Yes
i
Sherpa RoMEO Archiving Policy
Yellow faq
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Plagiarism Check
Available via Turnitin
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Endnote Style
Download Available
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Bibliography Name
apa
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Citation Type
Numbered
[25]
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Bibliography Example
Beenakker, C.W.J. (2006) Specular andreev reflection in graphene.Phys. Rev. Lett., 97 (6), 067 007. URL 10.1103/PhysRevLett.97.067007.

Top papers written in this journal

Journal Article DOI: 10.1111/J.1744-7348.1939.TB06990.X
The toxicity of poisons applied jointly1

Abstract:

Summary A quantitative analysis of the toxicity of drugs or poisons applied jointly requires that they be administered at several dosages in mixtures containing fixed proportions of the ingredients. From a study of the dosage-mortality curves for several such mixtures, preferably in comparison with equivalent curves for the ... Summary A quantitative analysis of the toxicity of drugs or poisons applied jointly requires that they be administered at several dosages in mixtures containing fixed proportions of the ingredients. From a study of the dosage-mortality curves for several such mixtures, preferably in comparison with equivalent curves for the isolated active ingredients, most cases of combined action can be classified into one of three types: (1) The first type is that in which the constituents act independently and diversely, so that the toxicity of any combination can be predicted from that of the isolated components and from the association of susceptibilities to the two components. The coefficient of association can be measured experimentally and should be constant at all proportions of the ingredients. When high, the toxicity of the mixture is reduced. The form of the dosage-mortality curve has been examined for several hypothetical mixtures. Whenever the curves for the two constituents were assumed to differ in slope, there was a relatively abrupt bend in the curve for the mixture, the rectilinear segments above and below the break approaching in slope the values for the original constituents. This observation indicates that in homogeneous populations the slope of a dosage-mortality curve is of toxicological significance. Since the same numerical relations would be expected if a single poison were to have two independent lethal effects within the animal, there is theoretical basis for fitting the linear segments of a dosage-mortality curve separately when a break occurs after transformation to probits and logarithms. This argument has been extended to time-mortality experiments to explain the smoothly concave curves characteristic of natural mortality. (2) The second type of joint action is that in which the constituents act independently but similarly, so that one ingredient can be substituted at a constant ratio for any proportion of a second without altering the toxicity of the mixture. With homogeneous populations, dosage-mortality curves for the separate ingredients and for all mixtures should be parallel. Although by hypothesis the susceptibility to one ingredient is completely correlated with that to the other, mixtures in this category are more toxic than in the preceding class where association may vary from 0 to 1. The numerical relations have been illustrated by an experiment on the toxicity to the house-fly of solutions containing pyrethrin and rotenone. A mixture with a little less than four equitoxic units of pyrethrin to one of rotenone agreed closely with the definition but one in which the ingredients were about equally balanced showed a significantly greater toxicity than expected on the hypothesis of independent action, indicating the presence of synergism. (3) Synergism forms the third type of joint action, characterized by a toxicity greater than that predicted from studies on the isolated constituents. It is the reverse of antagonism, which has not been considered directly. Two methods are proposed for the analysis of synergism. The more direct is to relate equitoxic dosages of mixture to its percentage composition in terms of the more active ingredient. When both are in logarithms the relation is linear over a useful range of compositions. This procedure preserves the original structure of the experiment, can be extended readily to three or more ingredients and leads to a convenient practical result. Theoretically it is less satisfactory than a second method in which for equitoxic dosages of each mixture the content of one ingredient (A) is related to the content of the other (B.) The equation which satisfies this relation most completely is (1 +k1A) Bi=k2, where the three constants are computed from the experimental data. When the exponent i is equal to 1, only two constants need be determined and their product, k1k2, is proposed as a measure of the intensity of synergism. The synergism between a nitro-phenol and petroleum oil has been computed by both methods. For mixtures containing from 0·5 to 5% of the nitrophenol, the deposit of mixture (Dc) killing 98 % of the eggs of a plant bug could be expressed adequately in terms of the percentage of the phenol (Q) as log Dc= 0·687-0·307 log Q, for 98% of overwintering San Jose scale as log Dc= 0·472 -0·363 log Q. All observations, including those for a 0·1 % mixture and for oil alone which were omitted in the first method, could be fitted satisfactorily in terms of the separate ingredients. For plant bug eggs at LD50, (1+25·6A) B= 4·29 and for San Jose scale (1 + 66·7 A) B= 2·73: in both cases i= 1 and the intensity of synergism 110 and 182 respectively. The full procedure has also been applied to the constituents of seven samples of Derris root. One sample gave an unaccountably low toxicity and was omitted. The log LD 50 of ether extract for the remaining six was related to the percentage composition of two components in the extract, rotenone (A) and dehydro mixture (B.) Since the toxicity of extract could be expressed almost entirely in terms of these particular two constituents, they were then related to each other by the second method. None of the samples contained a very small proportion of one ingredient, so that several equations were equally applicable, one of them being (1+0–714A) B= 56·1, from which the intensity of synergism was 40. The problem of measuring synergism in fumigants has been discussed briefly. read more read less
1,970 Citations
Journal Article DOI: 10.1111/J.1744-7348.1991.TB04895.X
A uniform decimal code for growth stages of crops and weeds

Abstract:

Summary A universal scale (to be known as the BBCH scale) using a decimal code for the description of the growth stages of most agricultural crops and weeds is proposed. The scale and codes are based on the well-known Zadoks code for cereals. Developmentally similar growth stages of different crops are given the same code... Summary A universal scale (to be known as the BBCH scale) using a decimal code for the description of the growth stages of most agricultural crops and weeds is proposed. The scale and codes are based on the well-known Zadoks code for cereals. Developmentally similar growth stages of different crops are given the same codes. The general scale provides a framework within which more specific scales for individual crops may be constructed. The uniformity of the scale makes it easy to remember and use in agricultural practice and simplifies storage and retrieval in a computer system. A description of the general scale is given followed by specific scales for cereals, rice, maize, oilseed rape, field beans, peas and sunflower. Comparisons with scales currently in use are given where appropriate. read more read less

Topics:

BBCH-scale (58%)58% related to the paper
1,569 Citations
Journal Article DOI: 10.1111/J.1744-7348.1952.TB00904.X
An automatic volumetric spore trap
J. M. Hirst1

Abstract:

A suction trap has been made in which the spores entering a narrow orifice, directed into the wind, are impacted on a Vaseline-coated microscope slide moved across the orifice at 2 mm./hr. Estimates of spore content of the air can be made, with higher efficiency than by previous traps, at different times of day and thus be mo... A suction trap has been made in which the spores entering a narrow orifice, directed into the wind, are impacted on a Vaseline-coated microscope slide moved across the orifice at 2 mm./hr. Estimates of spore content of the air can be made, with higher efficiency than by previous traps, at different times of day and thus be more closely correlated with variations in weather. Wind-tunnel tests with spores of Lycopodium clavatum showed maximal and minimal efficiencies of 93.8 and 62.4% respectively, with a suction rate of 10.0 1./min., in the range of wind speeds from 1.5 to 9.3 m./sec. read more read less

Topics:

Body orifice (51%)51% related to the paper
1,552 Citations
Journal Article DOI: 10.1111/J.1744-7348.1965.TB07864.X
A comparison of some quantitative methods of extracting small vermiform nematodes from soil

Abstract:

SUMMARY When 200 ml. dispersed soil is sedimented from an obliquely rising water current in a simple compartmented tank about three-quarters of the nematodes are extracted. About 95% of the nematodes in the concentrated suspension can be separated finally from mineral and heavy organic particles by centrifugal notation. When... SUMMARY When 200 ml. dispersed soil is sedimented from an obliquely rising water current in a simple compartmented tank about three-quarters of the nematodes are extracted. About 95% of the nematodes in the concentrated suspension can be separated finally from mineral and heavy organic particles by centrifugal notation. When mobile nematodes were finally separated from soil particles by paper tissue, this sedimentation method extracted as many nematodes from sand and loam as Seinhorst's two-flask and elutriation methods, but in one test extracted fewer Tylenchorhynchus from clay and in another fewer Paratylenchus from clay than the elutriation method. The method is quicker (4 or 6 instead of 30–45 min.) and easier. Mobile nematodes can be extracted from 300 ml. soil spread out on paper tissue in 23. 33 cm. trays of 8 mesh/cm. phosphor-bronze gauze, just resting on shallow water. The suspension obtained after 24 hr. at 16–18°C. was concentrated to 10–15 ml. without loss by sedimentation in two tapered cylinders, one of 8 cm. bore, the other of 2.6 cm. bore. This method usually extracted significantly more nematodes than the sedimentation, two-flask and elutriation methods. read more read less

Topics:

Elutriation (55%)55% related to the paper, Paratylenchus (51%)51% related to the paper, Tylenchorhynchus (50%)50% related to the paper
1,194 Citations
Journal Article DOI: 10.1111/J.1744-7348.1935.TB07713.X
The calculation of the dosage-mortality curve
C. I. Bliss1

Abstract:

Summary. The sigmoid dosage-mortality curve, secured so commonly in toxicity tests upon multicellular organisms, is interpreted as a cumulative normal frequency distribution of the variation among the individuals of a population in their susceptibility to a toxic agent, which susceptibility is inversely proportional to th... Summary. The sigmoid dosage-mortality curve, secured so commonly in toxicity tests upon multicellular organisms, is interpreted as a cumulative normal frequency distribution of the variation among the individuals of a population in their susceptibility to a toxic agent, which susceptibility is inversely proportional to the logarithm of the dose applied. In support of this interpretation is the fact that when dosage is inferred from the observed mortality on the assumption that susceptibility is distributed normally, such inferred dosages, in terms of units called probits, give straight lines when plotted against the logarithm of their corresponding observed dosages. It is shown that this use of the logarithm of the dosage can be interpreted in terms either of the Weber-Fechner law or of the amount of poison fixed by the tissues of the organism. How this transformation to a straight regression line facilitates the precise estimation of the dosage-mortality relationship and its accuracy is considered in detail. Statistical methods are described for taking account of tests which result in 0 or 100 per cent, kill, for giving each determination a weight proportional to its reliability, for computing the position and slope of the transformed dosage-mortality curve, for measuring the goodness of fit of the regression line to the observations by the X2 test, and for calculating the error in position and in slope and their combined effect at any log. dosage. The terminology and procedures are consistent with those used by R. A. Fisher, who has contributed an appendix on the case of zero survivors. Except for a table of common logarithms, all the tables required to utilise the methods described are given either in the present paper or in Fisher's book. A numerical example selected from Strand's experiments upon Tribolium confusum with carbon disulphide has been worked out in detail. read more read less

Topics:

Common logarithm (56%)56% related to the paper, Logarithm (54%)54% related to the paper, Population (52%)52% related to the paper
1,003 Citations
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13. What is Sherpa RoMEO Archiving Policy for Annals of Applied Biology?

SHERPA/RoMEO Database

We extracted this data from Sherpa Romeo to help researchers understand the access level of this journal in accordance with the Sherpa Romeo Archiving Policy for Annals of Applied Biology. The table below indicates the level of access a journal has as per Sherpa Romeo's archiving policy.

RoMEO Colour Archiving policy
Green Can archive pre-print and post-print or publisher's version/PDF
Blue Can archive post-print (ie final draft post-refereeing) or publisher's version/PDF
Yellow Can archive pre-print (ie pre-refereeing)
White Archiving not formally supported
FYI:
  1. Pre-prints as being the version of the paper before peer review and
  2. Post-prints as being the version of the paper after peer-review, with revisions having been made.

14. What are the most common citation types In Annals of Applied Biology?

The 5 most common citation types in order of usage for Annals of Applied Biology are:.

S. No. Citation Style Type
1. Author Year
2. Numbered
3. Numbered (Superscripted)
4. Author Year (Cited Pages)
5. Footnote

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Yes, SciSpace provides this functionality. After signing up, you would need to import your existing references from Word or Bib file to SciSpace. Then SciSpace would allow you to download your references in Annals of Applied Biology Endnote style according to Elsevier guidelines.

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