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 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

  • facebook

    Opportunity: 73.0 • Difficulty: 45.5 • Rank —

    Competitors: 454

    68.2
  • source

    Opportunity: 73.0 • Difficulty: 42.4 • Rank —

    Competitors: 164

    67.7
  • combination

    Opportunity: 73.0 • Difficulty: 40.2 • Rank —

    Competitors: 224

    65.3
  • approach

    Opportunity: 73.0 • Difficulty: 44.7 • Rank —

    Competitors: 133

    67.2
  • pure

    Opportunity: 73.0 • Difficulty: 39.3 • Rank —

    Competitors: 143

    62.8

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
facebook731004668

12,704 competing apps

Median installs: 800

Avg rating: 4.1

454

major competitor apps

right671005382

90,164 competing apps

Median installs: 400

Avg rating: 4.2

2,329

major competitor apps

source731004268

11,792 competing apps

Median installs: 350

Avg rating: 4.2

164

major competitor apps

order681005180

66,520 competing apps

Median installs: 350

Avg rating: 4.3

1,100

major competitor apps

easy661005386

140,898 competing apps

Median installs: 400

Avg rating: 4.1

2,980

major competitor apps

better691004877

41,248 competing apps

Median installs: 450

Avg rating: 4.2

1,016

major competitor apps

learn671005181

78,955 competing apps

Median installs: 400

Avg rating: 4.2

1,538

major competitor apps

scientists701003048

815 competing apps

Median installs: 500

Avg rating: 4.1

15

major competitor apps

information661005285

121,706 competing apps

Median installs: 300

Avg rating: 4.1

1,585

major competitor apps

used691004878

50,340 competing apps

Median installs: 350

Avg rating: 4.0

738

major competitor apps

image701004674

28,019 competing apps

Median installs: 400

Avg rating: 4.0

525

major competitor apps

way661005384

115,913 competing apps

Median installs: 400

Avg rating: 4.2

2,798

major competitor apps

using661005384

114,117 competing apps

Median installs: 450

Avg rating: 4.1

2,308

major competitor apps

find661005586

150,179 competing apps

Median installs: 450

Avg rating: 4.2

4,004

major competitor apps

program721004471

18,532 competing apps

Median installs: 350

Avg rating: 4.1

288

major competitor apps

swipe721004469

14,501 competing apps

Median installs: 500

Avg rating: 4.2

418

major competitor apps

help651005587

162,380 competing apps

Median installs: 400

Avg rating: 4.2

3,535

major competitor apps

combination731004065

8,449 competing apps

Median installs: 450

Avg rating: 4.2

224

major competitor apps

photos701004976

37,717 competing apps

Median installs: 550

Avg rating: 4.1

969

major competitor apps

search681005280

61,757 competing apps

Median installs: 450

Avg rating: 4.1

1,402

major competitor apps

take671005283

94,720 competing apps

Median installs: 500

Avg rating: 4.1

2,512

major competitor apps

small711004773

25,908 competing apps

Median installs: 350

Avg rating: 4.2

543

major competitor apps

understanding721004270

15,797 competing apps

Median installs: 300

Avg rating: 4.3

138

major competitor apps

grow721004470

16,904 competing apps

Median installs: 450

Avg rating: 4.4

498

major competitor apps

create661005485

131,059 competing apps

Median installs: 450

Avg rating: 4.2

3,501

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!