Cinder
ASO Keyword Dashboard
Tracking 121 keywords for Cinder in Apple App Store
Cinder tracks 121 keywords (no keywords rank yet; 121 need traction). Key metrics: opportunity 69.9, difficulty 39.3.
Tracked keywords
121
0 ranked • 121 not ranking yet
Top 10 coverage
—
Best rank — • Latest leader —
Avg opportunity
69.9
Top keyword: facebook
Avg difficulty
39.3
Lower scores indicate easier wins
Opportunity leaders
- 68.5
facebook
Opportunity: 73.0 • Difficulty: 43.1 • Rank —
Competitors: 309
- 67.6
source
Opportunity: 73.0 • Difficulty: 41.2 • Rank —
Competitors: 104
- 65.4
combination
Opportunity: 73.0 • Difficulty: 39.6 • Rank —
Competitors: 140
- 66.9
approach
Opportunity: 73.0 • Difficulty: 41.6 • Rank —
Competitors: 86
- 66.1
interested
Opportunity: 73.0 • Difficulty: 40.8 • Rank —
Competitors: 98
Unranked opportunities
facebook
Opportunity: 73.0 • Difficulty: 43.1 • Competitors: 309
source
Opportunity: 73.0 • Difficulty: 41.2 • Competitors: 104
combination
Opportunity: 73.0 • Difficulty: 39.6 • Competitors: 140
approach
Opportunity: 73.0 • Difficulty: 41.6 • Competitors: 86
interested
Opportunity: 73.0 • Difficulty: 40.8 • Competitors: 98
High competition keywords
help
Total apps: 150,218 • Major competitors: 2,324
Latest rank: — • Difficulty: 53.1
like
Total apps: 143,193 • Major competitors: 3,109
Latest rank: — • Difficulty: 53.2
easy
Total apps: 142,185 • Major competitors: 1,929
Latest rank: — • Difficulty: 52.4
find
Total apps: 139,050 • Major competitors: 2,657
Latest rank: — • Difficulty: 53.1
every
Total apps: 120,792 • Major competitors: 2,428
Latest rank: — • Difficulty: 52.2
All tracked keywords
Includes opportunity, difficulty, rankings and competitor benchmarks
| Major Competitors | |||||||
|---|---|---|---|---|---|---|---|
| 73 | 100 | 43 | 69 12,450 competing apps Median installs: 400 Avg rating: 4.1 | — | — | 309 major competitor apps | |
| right | 67 | 100 | 51 | 82 83,304 competing apps Median installs: 200 Avg rating: 4.2 | — | — | 1,567 major competitor apps |
| source | 73 | 100 | 41 | 68 10,905 competing apps Median installs: 150 Avg rating: 4.2 | — | — | 104 major competitor apps |
| order | 68 | 100 | 49 | 80 60,298 competing apps Median installs: 100 Avg rating: 4.3 | — | — | 760 major competitor apps |
| easy | 66 | 100 | 52 | 86 142,185 competing apps Median installs: 150 Avg rating: 4.1 | — | — | 1,929 major competitor apps |
| better | 69 | 100 | 47 | 77 41,649 competing apps Median installs: 200 Avg rating: 4.2 | — | — | 679 major competitor apps |
| learn | 67 | 100 | 50 | 81 73,337 competing apps Median installs: 150 Avg rating: 4.2 | — | — | 1,019 major competitor apps |
| scientists | 70 | 100 | 29 | 49 817 competing apps Median installs: 200 Avg rating: 4.1 | — | — | 8 major competitor apps |
| information | 66 | 100 | 51 | 85 112,141 competing apps Median installs: 100 Avg rating: 4.1 | — | — | 1,052 major competitor apps |
| used | 69 | 100 | 48 | 79 50,709 competing apps Median installs: 150 Avg rating: 4.0 | — | — | 467 major competitor apps |
| image | 70 | 100 | 45 | 74 25,913 competing apps Median installs: 200 Avg rating: 4.0 | — | — | 290 major competitor apps |
| way | 66 | 100 | 52 | 84 107,069 competing apps Median installs: 200 Avg rating: 4.2 | — | — | 1,874 major competitor apps |
| using | 66 | 100 | 52 | 85 115,243 competing apps Median installs: 150 Avg rating: 4.1 | — | — | 1,470 major competitor apps |
| find | 66 | 100 | 53 | 86 139,050 competing apps Median installs: 200 Avg rating: 4.2 | — | — | 2,657 major competitor apps |
| program | 72 | 100 | 44 | 71 17,296 competing apps Median installs: 150 Avg rating: 4.1 | — | — | 220 major competitor apps |
| swipe | 72 | 100 | 43 | 69 13,465 competing apps Median installs: 250 Avg rating: 4.2 | — | — | 262 major competitor apps |
| help | 65 | 100 | 53 | 87 150,218 competing apps Median installs: 200 Avg rating: 4.3 | — | — | 2,324 major competitor apps |
| combination | 73 | 100 | 40 | 65 8,050 competing apps Median installs: 200 Avg rating: 4.2 | — | — | 140 major competitor apps |
| photos | 69 | 100 | 47 | 77 38,156 competing apps Median installs: 250 Avg rating: 4.1 | — | — | 613 major competitor apps |
| search | 68 | 100 | 49 | 80 56,917 competing apps Median installs: 200 Avg rating: 4.2 | — | — | 901 major competitor apps |
| take | 67 | 100 | 51 | 83 95,592 competing apps Median installs: 200 Avg rating: 4.1 | — | — | 1,662 major competitor apps |
| small | 71 | 100 | 45 | 73 23,413 competing apps Median installs: 150 Avg rating: 4.3 | — | — | 327 major competitor apps |
| understanding | 72 | 100 | 42 | 69 14,218 competing apps Median installs: 100 Avg rating: 4.3 | — | — | 84 major competitor apps |
| grow | 72 | 100 | 43 | 71 17,213 competing apps Median installs: 250 Avg rating: 4.4 | — | — | 324 major competitor apps |
| create | 66 | 100 | 52 | 85 119,264 competing apps Median installs: 200 Avg rating: 4.2 | — | — | 2,198 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!