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Analysis of erroneous data entries in paper based and electronic data collection

Overview of attention for article published in BMC Research Notes, August 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (58th percentile)

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
25 Mendeley
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Title
Analysis of erroneous data entries in paper based and electronic data collection
Published in
BMC Research Notes, August 2019
DOI 10.1186/s13104-019-4574-8
Authors

Benedikt Ley, Komal Raj Rijal, Jutta Marfurt, Naba Raj Adhikari, Megha Raj Banjara, Upendra Thapa Shrestha, Kamala Thriemer, Ric N. Price, Prakash Ghimire

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 16%
Student > Bachelor 3 12%
Student > Ph. D. Student 1 4%
Other 1 4%
Student > Master 1 4%
Other 2 8%
Unknown 13 52%
Readers by discipline Count As %
Medicine and Dentistry 4 16%
Mathematics 2 8%
Agricultural and Biological Sciences 1 4%
Computer Science 1 4%
Business, Management and Accounting 1 4%
Other 1 4%
Unknown 15 60%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 24 August 2019.
All research outputs
#8,081,056
of 15,706,367 outputs
Outputs from BMC Research Notes
#1,070
of 3,446 outputs
Outputs of similar age
#107,598
of 263,139 outputs
Outputs of similar age from BMC Research Notes
#1
of 1 outputs
Altmetric has tracked 15,706,367 research outputs across all sources so far. This one is in the 48th percentile – i.e., 48% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,446 research outputs from this source. They receive a mean Attention Score of 4.6. This one has gotten more attention than average, scoring higher than 68% 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 263,139 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them