You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Yesterday, my Program Worked. Today, it Does Not. Why?
|
|---|---|
| Chapter number | 16 |
| Book title |
Software Engineering — ESEC/FSE ’99
|
| Published in |
Lecture notes in computer science, February 1999
|
| DOI | 10.1007/3-540-48166-4_16 |
| Book ISBNs |
978-3-54-066538-0, 978-3-54-048166-9
|
| Authors |
Andreas Zeller |
| Editors |
Oscar Nierstrasz, Michel Lemoine |
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 % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 5% |
| Germany | 1 | 1% |
| Switzerland | 1 | 1% |
| United Kingdom | 1 | 1% |
| Turkey | 1 | 1% |
| China | 1 | 1% |
| Canada | 1 | 1% |
| Unknown | 72 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 32 | 39% |
| Student > Master | 12 | 15% |
| Researcher | 9 | 11% |
| Student > Bachelor | 9 | 11% |
| Student > Doctoral Student | 4 | 5% |
| Other | 13 | 16% |
| Unknown | 3 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 71 | 87% |
| Engineering | 4 | 5% |
| Agricultural and Biological Sciences | 1 | 1% |
| Economics, Econometrics and Finance | 1 | 1% |
| Business, Management and Accounting | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 4 | 5% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 13 July 2023.
All research outputs
#4,877,808
of 24,066,486 outputs
Outputs from Lecture notes in computer science
#1,500
of 8,182 outputs
Outputs of similar age
#9,334
of 101,831 outputs
Outputs of similar age from Lecture notes in computer science
#4
of 17 outputs
Altmetric has tracked 24,066,486 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,182 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done well, scoring higher than 81% of its peers.
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 101,831 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.