Ovarian Tumor Pathology
ASO Keyword Dashboard
Tracking 112 keywords for Ovarian Tumor Pathology in Apple App Store
Ovarian Tumor Pathology tracks 112 keywords (no keywords rank yet; 112 need traction). Key metrics: opportunity 51.8, difficulty 40.1.
Tracked keywords
112
0 ranked • 112 not ranking yet
Top 10 coverage
—
Best rank — • Latest leader —
Avg opportunity
51.8
Top keyword: create
Avg difficulty
40.1
Lower scores indicate easier wins
Opportunity leaders
- 84.7
create
Opportunity: 59.0 • Difficulty: 60.6 • Rank —
Competitors: 1,155
- 86.9
every
Opportunity: 59.0 • Difficulty: 62.5 • Rank —
Competitors: 1,637
- 83.9
features
Opportunity: 59.0 • Difficulty: 60.4 • Rank —
Competitors: 1,060
- 75.1
card
Opportunity: 58.0 • Difficulty: 57.6 • Rank —
Competitors: 509
- 67.3
word
Opportunity: 58.0 • Difficulty: 48.5 • Rank —
Competitors: 205
Unranked opportunities
create
Opportunity: 59.0 • Difficulty: 60.6 • Competitors: 1,155
every
Opportunity: 59.0 • Difficulty: 62.5 • Competitors: 1,637
features
Opportunity: 59.0 • Difficulty: 60.4 • Competitors: 1,060
card
Opportunity: 58.0 • Difficulty: 57.6 • Competitors: 509
word
Opportunity: 58.0 • Difficulty: 48.5 • Competitors: 205
High competition keywords
every
Total apps: 6,989 • Major competitors: 1,637
Latest rank: — • Difficulty: 62.5
create
Total apps: 5,537 • Major competitors: 1,155
Latest rank: — • Difficulty: 60.6
features
Total apps: 5,134 • Major competitors: 1,060
Latest rank: — • Difficulty: 60.4
using
Total apps: 4,473 • Major competitors: 924
Latest rank: — • Difficulty: 61.4
including
Total apps: 3,880 • Major competitors: 926
Latest rank: — • Difficulty: 62.0
All tracked keywords
Includes opportunity, difficulty, rankings and competitor benchmarks
| Major Competitors | |||||||
|---|---|---|---|---|---|---|---|
| card | 58 | 100 | 58 | 75 2,087 competing apps Median installs: 269,825 Avg rating: 4.7 | — | — | 509 major competitor apps |
| word | 58 | 100 | 49 | 67 941 competing apps Median installs: 260,450 Avg rating: 4.7 | — | — | 205 major competitor apps |
| challenging | 58 | 100 | 50 | 73 1,663 competing apps Median installs: 295,550 Avg rating: 4.6 | — | — | 392 major competitor apps |
| focus | 58 | 100 | 47 | 67 906 competing apps Median installs: 231,512 Avg rating: 4.7 | — | — | 179 major competitor apps |
| step | 58 | 100 | 49 | 72 1,454 competing apps Median installs: 257,975 Avg rating: 4.6 | — | — | 298 major competitor apps |
| images | 58 | 100 | 51 | 69 1,097 competing apps Median installs: 227,650 Avg rating: 4.6 | — | — | 197 major competitor apps |
| simply | 58 | 100 | 52 | 73 1,724 competing apps Median installs: 235,888 Avg rating: 4.6 | — | — | 356 major competitor apps |
| used | 58 | 100 | 53 | 72 1,494 competing apps Median installs: 237,800 Avg rating: 4.6 | — | — | 279 major competitor apps |
| image | 58 | 100 | 46 | 66 796 competing apps Median installs: 225,225 Avg rating: 4.6 | — | — | 142 major competitor apps |
| welcome | 58 | 100 | 51 | 73 1,721 competing apps Median installs: 240,400 Avg rating: 4.6 | — | — | 342 major competitor apps |
| using | 58 | 100 | 61 | 83 4,473 competing apps Median installs: 247,200 Avg rating: 4.6 | — | — | 924 major competitor apps |
| key | 58 | 100 | 51 | 69 1,089 competing apps Median installs: 257,575 Avg rating: 4.6 | — | — | 226 major competitor apps |
| including | 58 | 100 | 62 | 81 3,880 competing apps Median installs: 285,400 Avg rating: 4.6 | — | — | 926 major competitor apps |
| university | 57 | 100 | 31 | 41 67 competing apps Median installs: 211,800 Avg rating: 4.7 | — | — | 11 major competitor apps |
| volume | 57 | 100 | 42 | 55 259 competing apps Median installs: 186,100 Avg rating: 4.6 | — | — | 45 major competitor apps |
| diagnostic | 56 | 100 | 23 | 35 36 competing apps Median installs: 178,900 Avg rating: 4.6 | — | — | 3 major competitor apps |
| format | 57 | 100 | 37 | 53 231 competing apps Median installs: 251,875 Avg rating: 4.6 | — | — | 44 major competitor apps |
| series | 58 | 100 | 46 | 63 626 competing apps Median installs: 242,850 Avg rating: 4.6 | — | — | 124 major competitor apps |
| create | 59 | 100 | 61 | 85 5,537 competing apps Median installs: 251,325 Avg rating: 4.6 | — | — | 1,155 major competitor apps |
| view | 58 | 100 | 60 | 79 3,121 competing apps Median installs: 254,100 Avg rating: 4.7 | — | — | 667 major competitor apps |
| many | 58 | 100 | 55 | 81 3,804 competing apps Median installs: 252,775 Avg rating: 4.6 | — | — | 758 major competitor apps |
| provides | 58 | 100 | 49 | 74 1,846 competing apps Median installs: 221,075 Avg rating: 4.6 | — | — | 308 major competitor apps |
| easily | 58 | 100 | 61 | 80 3,352 competing apps Median installs: 262,062 Avg rating: 4.6 | — | — | 764 major competitor apps |
| contains | 58 | 100 | 41 | 62 570 competing apps Median installs: 217,262 Avg rating: 4.6 | — | — | 97 major competitor apps |
| together | 58 | 100 | 53 | 69 1,115 competing apps Median installs: 261,625 Avg rating: 4.6 | — | — | 249 major competitor apps |
App Description
AUTHORS: Emanuela F. T. Veras, Ayse Ayhan, Tsui-Lien Mao, Marissa J. White, and Norman J. Barker
SERIES EDITORS: Toby C. Cornish, Norman J. Barker, and Ralph H. Hruban
The Johns Hopkins Atlas of Ovarian Tumor Pathology is the fifth teaching app in our series from the Johns Hopkins University Department of Pathology. This app provides an easily accessible atlas with as many as possible images on each specific entity, common and rare documented variations on every neoplasm, along with succinct, explanatory descriptions that would aid the novice in the field as well as the experienced professional to arrive at the correct diagnosis. Although the focus of this work is on neoplastic ovarian lesions, we have also included selected examples of non-neoplastic entities and normal ovarian structures we deem as important to recognize.
This app follows the format presented in previous atlases of this series. It is composed of four modules: an interactive teaching algorithm, a searchable image atlas, an image-based quiz, and a flash card module.
The image atlas contains over 1600 high resolution color images with expertly-authored captions. These microscopic, macroscopic and radiographic images can be viewed together or separately, and two entities can be compared, side-by-side. The atlas can be viewed by diagnosis or by features (these features re-enforce the diagnostic features used in the algorithm), and the atlas can be searched using a key word search. You can create your own albums and add images you select from from the atlas to these albums. The flash cards module allows you to view a randomly generated assortment of images from the image bank and subsequently view the diagnosis and caption by simply “flipping” the card over.
For our teaching algorithm, we present the reader with our general approach to the challenging mucinous tumors of the ovary. This module consists of sequential steps, including approach to the gross (laterality/size)/microscopic characteristics (stratified/non-stratified epithelium) and immunohistochemical profiles of primary and the most common secondary mucinous tumors to the ovary, each step prompting the selection of one out of two presented options, until a final diagnosis is reached.
We welcome your feedback. Please e-mail Dr. Hruban at rhruban@jhmi.edu. If you