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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
How Do Software Startups Pivot? Empirical Results from a Multiple Case Study
|
|---|---|
| Chapter number | 14 |
| Book title |
Software Business
|
| Published in |
arXiv, January 2016
|
| DOI | 10.1007/978-3-319-40515-5_14 |
| Book ISBNs |
978-3-31-940514-8, 978-3-31-940515-5
|
| Authors |
Sohaib Shahid Bajwa, Xiaofeng Wang, Anh Nguven Duc, Pekka Abrahamsson |
| Editors |
Andrey Maglyas, Anna-Lena Lamprecht |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 1% |
| Sweden | 1 | 1% |
| Italy | 1 | 1% |
| Unknown | 73 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 16 | 21% |
| Student > Ph. D. Student | 12 | 16% |
| Student > Doctoral Student | 6 | 8% |
| Student > Bachelor | 4 | 5% |
| Other | 4 | 5% |
| Other | 11 | 14% |
| Unknown | 23 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 22 | 29% |
| Business, Management and Accounting | 13 | 17% |
| Engineering | 8 | 11% |
| Social Sciences | 3 | 4% |
| Economics, Econometrics and Finance | 2 | 3% |
| Other | 4 | 5% |
| Unknown | 24 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 November 2017.
All research outputs
#19,519,579
of 24,002,307 outputs
Outputs from arXiv
#589,022
of 1,011,770 outputs
Outputs of similar age
#293,134
of 400,961 outputs
Outputs of similar age from arXiv
#7,092
of 14,176 outputs
Altmetric has tracked 24,002,307 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,011,770 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 25th percentile – i.e., 25% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 400,961 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14,176 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.