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 70.1, difficulty 40.3.
Tracked keywords
121
0 ranked • 121 not ranking yet
Top 10 coverage
—
Best rank — • Latest leader —
Avg opportunity
70.1
Top keyword: facebook
Avg difficulty
40.3
Lower scores indicate easier wins
Opportunity leaders
- 68.2
facebook
Opportunity: 73.0 • Difficulty: 45.5 • Rank —
Competitors: 454
- 67.7
source
Opportunity: 73.0 • Difficulty: 42.4 • Rank —
Competitors: 164
- 65.3
combination
Opportunity: 73.0 • Difficulty: 40.2 • Rank —
Competitors: 224
- 67.2
approach
Opportunity: 73.0 • Difficulty: 44.7 • Rank —
Competitors: 133
- 62.8
pure
Opportunity: 73.0 • Difficulty: 39.3 • Rank —
Competitors: 143
Unranked opportunities
facebook
Opportunity: 73.0 • Difficulty: 45.5 • Competitors: 454
source
Opportunity: 73.0 • Difficulty: 42.4 • Competitors: 164
combination
Opportunity: 73.0 • Difficulty: 40.2 • Competitors: 224
approach
Opportunity: 73.0 • Difficulty: 44.7 • Competitors: 133
pure
Opportunity: 73.0 • Difficulty: 39.3 • Competitors: 143
High competition keywords
help
Total apps: 162,380 • Major competitors: 3,535
Latest rank: — • Difficulty: 54.6
like
Total apps: 153,497 • Major competitors: 4,718
Latest rank: — • Difficulty: 55.0
find
Total apps: 150,179 • Major competitors: 4,004
Latest rank: — • Difficulty: 54.7
easy
Total apps: 140,898 • Major competitors: 2,980
Latest rank: — • Difficulty: 52.8
create
Total apps: 131,059 • Major competitors: 3,501
Latest rank: — • Difficulty: 54.1
All tracked keywords
Includes opportunity, difficulty, rankings and competitor benchmarks
| Major Competitors | |||||||
|---|---|---|---|---|---|---|---|
| 73 | 100 | 46 | 68 12,704 competing apps Median installs: 800 Avg rating: 4.1 | — | — | 454 major competitor apps | |
| right | 67 | 100 | 53 | 82 90,164 competing apps Median installs: 400 Avg rating: 4.2 | — | — | 2,329 major competitor apps |
| source | 73 | 100 | 42 | 68 11,792 competing apps Median installs: 350 Avg rating: 4.2 | — | — | 164 major competitor apps |
| order | 68 | 100 | 51 | 80 66,520 competing apps Median installs: 350 Avg rating: 4.3 | — | — | 1,100 major competitor apps |
| easy | 66 | 100 | 53 | 86 140,898 competing apps Median installs: 400 Avg rating: 4.1 | — | — | 2,980 major competitor apps |
| better | 69 | 100 | 48 | 77 41,248 competing apps Median installs: 450 Avg rating: 4.2 | — | — | 1,016 major competitor apps |
| learn | 67 | 100 | 51 | 81 78,955 competing apps Median installs: 400 Avg rating: 4.2 | — | — | 1,538 major competitor apps |
| scientists | 70 | 100 | 30 | 48 815 competing apps Median installs: 500 Avg rating: 4.1 | — | — | 15 major competitor apps |
| information | 66 | 100 | 52 | 85 121,706 competing apps Median installs: 300 Avg rating: 4.1 | — | — | 1,585 major competitor apps |
| used | 69 | 100 | 48 | 78 50,340 competing apps Median installs: 350 Avg rating: 4.0 | — | — | 738 major competitor apps |
| image | 70 | 100 | 46 | 74 28,019 competing apps Median installs: 400 Avg rating: 4.0 | — | — | 525 major competitor apps |
| way | 66 | 100 | 53 | 84 115,913 competing apps Median installs: 400 Avg rating: 4.2 | — | — | 2,798 major competitor apps |
| using | 66 | 100 | 53 | 84 114,117 competing apps Median installs: 450 Avg rating: 4.1 | — | — | 2,308 major competitor apps |
| find | 66 | 100 | 55 | 86 150,179 competing apps Median installs: 450 Avg rating: 4.2 | — | — | 4,004 major competitor apps |
| program | 72 | 100 | 44 | 71 18,532 competing apps Median installs: 350 Avg rating: 4.1 | — | — | 288 major competitor apps |
| swipe | 72 | 100 | 44 | 69 14,501 competing apps Median installs: 500 Avg rating: 4.2 | — | — | 418 major competitor apps |
| help | 65 | 100 | 55 | 87 162,380 competing apps Median installs: 400 Avg rating: 4.2 | — | — | 3,535 major competitor apps |
| combination | 73 | 100 | 40 | 65 8,449 competing apps Median installs: 450 Avg rating: 4.2 | — | — | 224 major competitor apps |
| photos | 70 | 100 | 49 | 76 37,717 competing apps Median installs: 550 Avg rating: 4.1 | — | — | 969 major competitor apps |
| search | 68 | 100 | 52 | 80 61,757 competing apps Median installs: 450 Avg rating: 4.1 | — | — | 1,402 major competitor apps |
| take | 67 | 100 | 52 | 83 94,720 competing apps Median installs: 500 Avg rating: 4.1 | — | — | 2,512 major competitor apps |
| small | 71 | 100 | 47 | 73 25,908 competing apps Median installs: 350 Avg rating: 4.2 | — | — | 543 major competitor apps |
| understanding | 72 | 100 | 42 | 70 15,797 competing apps Median installs: 300 Avg rating: 4.3 | — | — | 138 major competitor apps |
| grow | 72 | 100 | 44 | 70 16,904 competing apps Median installs: 450 Avg rating: 4.4 | — | — | 498 major competitor apps |
| create | 66 | 100 | 54 | 85 131,059 competing apps Median installs: 450 Avg rating: 4.2 | — | — | 3,501 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!