Cinder

Cinder icon

ASO Keyword Dashboard

Tracking 121 keywords for Cinder in Apple App Store

Developer: CSIRO Category: education

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

  • facebook

    Opportunity: 73.0 • Difficulty: 43.1 • Rank —

    Competitors: 309

    68.5
  • source

    Opportunity: 73.0 • Difficulty: 41.2 • Rank —

    Competitors: 104

    67.6
  • combination

    Opportunity: 73.0 • Difficulty: 39.6 • Rank —

    Competitors: 140

    65.4
  • approach

    Opportunity: 73.0 • Difficulty: 41.6 • Rank —

    Competitors: 86

    66.9
  • interested

    Opportunity: 73.0 • Difficulty: 40.8 • Rank —

    Competitors: 98

    66.1

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
facebook731004369

12,450 competing apps

Median installs: 400

Avg rating: 4.1

309

major competitor apps

right671005182

83,304 competing apps

Median installs: 200

Avg rating: 4.2

1,567

major competitor apps

source731004168

10,905 competing apps

Median installs: 150

Avg rating: 4.2

104

major competitor apps

order681004980

60,298 competing apps

Median installs: 100

Avg rating: 4.3

760

major competitor apps

easy661005286

142,185 competing apps

Median installs: 150

Avg rating: 4.1

1,929

major competitor apps

better691004777

41,649 competing apps

Median installs: 200

Avg rating: 4.2

679

major competitor apps

learn671005081

73,337 competing apps

Median installs: 150

Avg rating: 4.2

1,019

major competitor apps

scientists701002949

817 competing apps

Median installs: 200

Avg rating: 4.1

8

major competitor apps

information661005185

112,141 competing apps

Median installs: 100

Avg rating: 4.1

1,052

major competitor apps

used691004879

50,709 competing apps

Median installs: 150

Avg rating: 4.0

467

major competitor apps

image701004574

25,913 competing apps

Median installs: 200

Avg rating: 4.0

290

major competitor apps

way661005284

107,069 competing apps

Median installs: 200

Avg rating: 4.2

1,874

major competitor apps

using661005285

115,243 competing apps

Median installs: 150

Avg rating: 4.1

1,470

major competitor apps

find661005386

139,050 competing apps

Median installs: 200

Avg rating: 4.2

2,657

major competitor apps

program721004471

17,296 competing apps

Median installs: 150

Avg rating: 4.1

220

major competitor apps

swipe721004369

13,465 competing apps

Median installs: 250

Avg rating: 4.2

262

major competitor apps

help651005387

150,218 competing apps

Median installs: 200

Avg rating: 4.3

2,324

major competitor apps

combination731004065

8,050 competing apps

Median installs: 200

Avg rating: 4.2

140

major competitor apps

photos691004777

38,156 competing apps

Median installs: 250

Avg rating: 4.1

613

major competitor apps

search681004980

56,917 competing apps

Median installs: 200

Avg rating: 4.2

901

major competitor apps

take671005183

95,592 competing apps

Median installs: 200

Avg rating: 4.1

1,662

major competitor apps

small711004573

23,413 competing apps

Median installs: 150

Avg rating: 4.3

327

major competitor apps

understanding721004269

14,218 competing apps

Median installs: 100

Avg rating: 4.3

84

major competitor apps

grow721004371

17,213 competing apps

Median installs: 250

Avg rating: 4.4

324

major competitor apps

create661005285

119,264 competing apps

Median installs: 200

Avg rating: 4.2

2,198

major competitor apps

121 keywords
1 of 5

App Description

Protein crystals are an essential part of X-ray crystallography, the predominant method used to figure out the molecular structure of biologically important molecules like proteins. CSIRO (like many other research institutions) is interested in the molecular structure of proteins because it is essential for our biotechnology research.
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!