Cinder
ASO Keyword Dashboard
Tracking 119 keywords for Cinder in Apple App Store
Cinder tracks 119 keywords (no keywords rank yet; 119 need traction). Key metrics: opportunity 49.9, difficulty 41.3.
Tracked keywords
119
0 ranked • 119 not ranking yet
Top 10 coverage
—
Best rank — • Latest leader —
Avg opportunity
49.9
Top keyword: easy
Avg difficulty
41.3
Lower scores indicate easier wins
Opportunity leaders
- 85.2
easy
Opportunity: 59.0 • Difficulty: 59.0 • Rank —
Competitors: 1,246
- 83.0
way
Opportunity: 59.0 • Difficulty: 60.3 • Rank —
Competitors: 1,067
- 86.3
find
Opportunity: 59.0 • Difficulty: 63.8 • Rank —
Competitors: 1,481
- 85.2
help
Opportunity: 59.0 • Difficulty: 61.1 • Rank —
Competitors: 1,236
- 83.4
take
Opportunity: 59.0 • Difficulty: 59.6 • Rank —
Competitors: 1,068
Unranked opportunities
easy
Opportunity: 59.0 • Difficulty: 59.0 • Competitors: 1,246
way
Opportunity: 59.0 • Difficulty: 60.3 • Competitors: 1,067
find
Opportunity: 59.0 • Difficulty: 63.8 • Competitors: 1,481
help
Opportunity: 59.0 • Difficulty: 61.1 • Competitors: 1,236
take
Opportunity: 59.0 • Difficulty: 59.6 • Competitors: 1,068
High competition keywords
like
Total apps: 7,508 • Major competitors: 1,767
Latest rank: — • Difficulty: 63.2
every
Total apps: 6,989 • Major competitors: 1,637
Latest rank: — • Difficulty: 62.5
find
Total apps: 6,521 • Major competitors: 1,481
Latest rank: — • Difficulty: 63.8
help
Total apps: 5,873 • Major competitors: 1,236
Latest rank: — • Difficulty: 61.1
easy
Total apps: 5,849 • Major competitors: 1,246
Latest rank: — • Difficulty: 59.0
All tracked keywords
Includes opportunity, difficulty, rankings and competitor benchmarks
| Major Competitors | |||||||
|---|---|---|---|---|---|---|---|
| 58 | 100 | 51 | 66 852 competing apps Median installs: 240,100 Avg rating: 4.6 | — | — | 173 major competitor apps | |
| right | 58 | 100 | 63 | 81 3,793 competing apps Median installs: 282,075 Avg rating: 4.6 | — | — | 912 major competitor apps |
| source | 57 | 100 | 42 | 57 317 competing apps Median installs: 194,725 Avg rating: 4.6 | — | — | 54 major competitor apps |
| order | 20 | 100 | 61 | 73 1,756 competing apps Median installs: 288,212 Avg rating: 4.7 | — | — | 456 major competitor apps |
| easy | 59 | 100 | 59 | 85 5,849 competing apps Median installs: 250,625 Avg rating: 4.6 | — | — | 1,246 major competitor apps |
| better | 58 | 100 | 53 | 75 2,000 competing apps Median installs: 250,162 Avg rating: 4.6 | — | — | 450 major competitor apps |
| learn | 58 | 100 | 57 | 77 2,669 competing apps Median installs: 250,600 Avg rating: 4.6 | — | — | 552 major competitor apps |
| scientists | 56 | 100 | 23 | 34 32 competing apps Median installs: 241,375 Avg rating: 4.6 | — | — | 5 major competitor apps |
| information | 58 | 100 | 57 | 78 2,704 competing apps Median installs: 252,888 Avg rating: 4.6 | — | — | 572 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 |
| way | 59 | 100 | 60 | 83 4,665 competing apps Median installs: 271,100 Avg rating: 4.6 | — | — | 1,067 major competitor apps |
| using | 58 | 100 | 61 | 83 4,473 competing apps Median installs: 247,200 Avg rating: 4.6 | — | — | 924 major competitor apps |
| find | 59 | 100 | 64 | 86 6,521 competing apps Median installs: 264,850 Avg rating: 4.6 | — | — | 1,481 major competitor apps |
| program | 58 | 100 | 51 | 62 534 competing apps Median installs: 269,325 Avg rating: 4.7 | — | — | 126 major competitor apps |
| swipe | 58 | 100 | 48 | 64 674 competing apps Median installs: 274,825 Avg rating: 4.6 | — | — | 142 major competitor apps |
| help | 59 | 100 | 61 | 85 5,873 competing apps Median installs: 257,100 Avg rating: 4.6 | — | — | 1,236 major competitor apps |
| combination | 57 | 100 | 38 | 58 357 competing apps Median installs: 273,300 Avg rating: 4.6 | — | — | 67 major competitor apps |
| photos | 58 | 100 | 54 | 75 1,969 competing apps Median installs: 250,700 Avg rating: 4.6 | — | — | 406 major competitor apps |
| search | 58 | 100 | 62 | 75 2,154 competing apps Median installs: 273,038 Avg rating: 4.6 | — | — | 531 major competitor apps |
| take | 59 | 100 | 60 | 83 4,876 competing apps Median installs: 260,038 Avg rating: 4.6 | — | — | 1,068 major competitor apps |
| small | 58 | 100 | 51 | 66 862 competing apps Median installs: 228,538 Avg rating: 4.7 | — | — | 155 major competitor apps |
| understanding | 57 | 100 | 37 | 55 266 competing apps Median installs: 199,150 Avg rating: 4.6 | — | — | 39 major competitor apps |
| grow | 58 | 100 | 47 | 68 998 competing apps Median installs: 248,725 Avg rating: 4.6 | — | — | 215 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 |
App Description
Finding protein crystals takes a lot of time!
In order to grow a protein crystal, CSIRO must set up thousands of crystallisation experiments. These experiments are small droplets where different mixtures of chemicals are combined with a concentrated, pure protein sample. Unfortunately, there is no way of knowing which combination of chemicals will work for any particular protein, so for every protein, many different droplets are set up. Then we take photos of the experiments over many weeks, and look at them to see if crystals have formed. Less than 1% of the experiments have crystals. CSIRO developed Cinder so we can crowd source our search for experiments with crystals. We are using this information to help us develop machine image analysis tools to help us find crystals automatically. (A similar approach was used by Facebook to enable it to recognise people’s faces in pictures).
One of the challenges is that crystal can grow in many different ways, and in many different shapes. When we think of crystals we think of something like a grain of salt, or of a diamond. But crystals can also be long and thin (like spaghetti) or clusters of tiny needles – like a sea urchin. The crystals may be big and really easy to spot, or they may be hidden in a cloud of precipitated protein (almost like a fog). Thus our computer program used to find crystals can’t just look for one type of crystal, but has to be trained on a large set of different images, some with crystals, some with no crystals. Humans are very good at finding crystals in images, and we have developed Cinder so that you can help us create the training set which will be used to help the computer program learn how to find crystals.
Cinder is an easy app to use, swipe right for crystals. Your classification of each experiment is pushed back to CSIRO.
The crystals we find will be used to generate atomic structures of proteins, which are used to help scientists understand the protein. Atomic structures generated through X-ray crystallography have been used to understand how DNA works, to develop drugs against diseases like HIV, and to reveal the molecular basis of photosynthesis.
Every swipe from you is help us develop a better understanding of biology!